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University of Rijeka Faculty of Engineering POSTGRADUATE DOCTORAL STUDY PROGRAMME IN THE FIELD OF ENGINEERING SCIENCES, IN SUBJECTS MECHANICAL ENGINEERING, NAVAL ARCHITECTURE, BASIC ENGINEERING SCIENCES AND INTERDISCIPLINARY ENGINEERING SCIENCES Rijeka, September 2013

POSTGRADUATE DOCTORAL STUDY PROGRAMME IN THE FIELD … · Postgraduate doctoral study programme 2 1. INTRODUCTION 1.1. Programme aims University of Rijeka Faculty of Engineering (hereinafter:

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Page 1: POSTGRADUATE DOCTORAL STUDY PROGRAMME IN THE FIELD … · Postgraduate doctoral study programme 2 1. INTRODUCTION 1.1. Programme aims University of Rijeka Faculty of Engineering (hereinafter:

 University of Rijeka 

Faculty of Engineering                  

 POSTGRADUATE DOCTORAL STUDY PROGRAMME IN THE FIELD OF ENGINEERING SCIENCES, IN SUBJECTS MECHANICAL ENGINEERING, 

NAVAL ARCHITECTURE, BASIC ENGINEERING SCIENCES AND INTERDISCIPLINARY ENGINEERING SCIENCES  

                         

Rijeka, September 2013 

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CONTENT     1. INTRODUCTION  2 

1.1. Programme aims  2 1.2. Previous experience  2 1.3. Openness toward student mobility  3 1.4. Possibilities of entering a joint programme with foreign universities  3 

2. GENERAL INFORMATION  5 2.1. Title of the study programme  5 2.2. Issuing institution  5 2.3. Institutional strategy of doctoral study programme development  5 2.4. Innovativeness of the study programme  6 2.5. Enrolment   6 2.6. Selection process  6 2.7. Competences and possibilities upon completion of the study programme  7 

3. PROGRAMME DESCRIPTION  8 3.1. Structure and organisation of the study programme  8 3.2. List of modules and courses  8 3.3. Core and elective activities  17 3.4. Course descriptions  17 3.5. Studying and student obligations  211 3.6. Advice and guidance system  211 3.7. Courses and/or modules from other postgraduate programmes  211 3.8. Courses and/or modules that can be taught in a foreign language  211 3.9. ECTS credits transfer  212 3.10. Completion of the study programme and registration of doctoral thesis  212 3.11. Continuing the study programme  212 3.12. Certificate of completion of part of the study programme  212 3.13. Acquiring a D.Sc. degree without attending classes and taking exams  212 3.14. Maximum time allowed from the beginning to the end of study  213 

4. STUDY CONDITIONS  214 4.1. Locations  214 4.2. Lecture halls, laboratories and equipment  214 4.3. List of projects on which the study programme is based on  215 4.4. Institutional management of the study programme  215 4.5. Contractual relations  215 4.6. Optimal number of students  215 4.7. Funding the study programme  216 4.8. Quality of the study programme  216 

  

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1. INTRODUCTION      1.1. Programme aims   

University of Rijeka Faculty of Engineering (hereinafter: the Faculty)  is the  issuing  institution of the postgraduate  doctoral  study  programme  in  the  field  of  Engineering  Sciences,  in  subjects  Mechanical Engineering, Naval Architecture, Basic Engineering Sciences and  Interdisciplinary Engineering Sciences. The programme is based on the tradition of postgraduate studies at the Faculty (since 1971) and on the needs of Croatian society for science and research resources today and in the near future.   

Croatian society’s contemporary aims are transformation into a knowledge society and European and global  integration.  Croatia  needs  to  develop  into  a modern  society  and  the  economy  of  experts,  into  a country of a wise international political partner to great systems and old democracies. The weakening of the productive sector in the economy and the decline in the number of students enrolled into programmes in the fields of  technical and natural  sciences must be  stopped  in  the  same way  that was done  in  the  countries which have successfully completed the aforementioned transformation. The study programme will educate researchers  who  will  be  able  to  contribute  to  the  accomplishment  of  the  aforementioned  aims.  Some researchers who remain in the higher education and scientific research system will educate new generations of  engineers  and  scientists,  but  they  will  also  generate  new  research  results,  enable  the  transfer  of knowledge and,  through  their  research and contacts with  foreign  researchers, help Croatia with European and global  integration. There  is even a greater need of our economy  for  creative and enterprising  young researchers  who  will  help  the  economy  grow.  The  key  element  in  the  future  of  Croatia  are  awakened creators, expert engineers and capable entrepreneurs whose technological creations can be sold all over the world.   Furthermore, the entire study programme  is based on and closely tied to scientific research carried out through  internationally competitive projects. Current research and development projects at the Faculty (Section 4.3.) indicate by the number and quality of published scientific papers that our institution is already a home to competitive scientific research.  The transfer of knowledge from older to younger generations of researchers  and  the  continuity  of  scientific  research  are  a  guarantee  that  this  will  carry  on  and  that competitiveness will  in  fact  increase with  time.  In addition, a relatively  large number of researchers at  the Faculty  and  the  coverage  of  different  fields  and  branches  of  Engineering  Sciences  are  related  through research  as well  as  proposed modules  and  courses  to  specific  competencies which will  be  developed  in doctoral  students  (Section  3.2.).  Moreover,  special  attention  is  given  to  general  competences  which prospective young researchers will have to acquire through the study programme, and they are described in Section 2.7. of this programme.     As mentioned  in detail  in  Section  2.4.,  the  Faculty  has  established  cooperation with other higher education  institutions,  institutes  and  companies.  Thanks  to  the  adjustment  to  the  Bologna  Process,  the cooperation will be strengthened further because of the integration into the European Higher Education Area and because of the incentives for cooperation which need to become much stronger with time.    1.2. Previous experience   

Master of Engineering postgraduate study programme was started at  the Faculty  in 1971 with  the aim  of  providing mechanical  and  naval  engineers with  the  opportunity  to  broaden  their  knowledge  and undergo scientific training. Classes were started in the 1971/1972 academic year in the module Construction Theory. Planned duration of the study was four semesters. In the 1975/1976 academic year, classes began in the subjects Metal‐cutting Processes and Thermal‐Based Manufacturing Technology. Changes in the concept and  courses of  the postgraduate  study programme were made  in 1977.  In  the 1977/1978 academic year, 

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postgraduate studies for Masters of Science and specialization in the subjects of Mechanical Engineering and Naval Architecture were  started.  In  the  1981/1982  academic  year,  significant  changes were made  to  the curriculum which had seven majors and further division  into modules. Since the 1995/1996 academic year, teaching has been conducted according to the amended Curriculum in line with the Law on Higher Education. At its session held on  March 10th 1999, Croatian National Council for Higher Education adopted the report of the  Committee  for  curriculum  evaluation  and  positively  evaluated  the  Faculty’s  postgraduate  study programme in the field of Engineering Sciences, in subjects Mechanical Engineering and Naval Architecture. 

In 2002, new postgraduate study curriculum was implemented. This enabled the postgraduate study programme for Doctors of Engineering Sciences. 

 In the 2002/2003 academic year, the Faculty began working on acquiring the license for carrying out the programme in the subject Other Basic Engineering Sciences. Based on the resolution of the University of Rijeka Senate from July 2003, the Faculty is accredited for organising and carrying out postgraduate scientific and  vocational  studies  in  the  subject  Other  Basic  Engineering  Sciences,  as  well  as  for  carrying  out  the acquisition of the degree of Doctor of Science within and outside the postgraduate study programme. In the same  year,  alongside  six  majors  a  new,  seventh  major  was  introduced:  Ecological  Engineering  and Environmental Protection. Furthermore,  in the 2003/2004 academic year,  innovations were  introduced  into the curricula which were then adopted at the 20th session of the Faculty Council held on  May 28th, 2004 and approved by  the University of Rijeka Senate on the 103rd session held on    June 17th, 2004. The aim of  this programme is to educate capable researchers in research and supervision for working at research institutions or for working on research projects in companies, as well as for working at higher education institutions. In creating  the  curricula,  student  interests and  science development  tendencies  in global and Croatian high‐tech economy have been taken into account. 

Since  the  2003/2004  academic  year,  in  accordance  with  the  new  Law  on  Science  and  Higher Education,  the  Faculty  has  been  carrying  out  only  the  postgraduate  scientific  study  programme  for  the acquisition of the degree of Doctor of Engineering Sciences. 

Since the 2011/2012 academic year, an  innovated postgraduate doctoral study programme  is being carried  out.  Changes  to  the  programme were  adopted  at  the  5th  session  of  the  Faculty  Council  held  on  February 26th, 2011, and approved by the University of Rijeka Senate at the 29th session held on   July 19th, 2011.  In  the 2010/2011 academic year,  the Faculty was, alongside postgraduate study programmes  in  the subjects  Mechanical  Engineering  and  Naval  Architecture,  accredited  for  organising  and  carrying  out postgraduate  scientific  and  vocational  study  programmes  in  the  subjects  Basic  Engineering  Sciences  and Interdisciplinary Engineering Sciences. 

Teaching  at  the  postgraduate  studies  has  been  continuously  carried  out  since  the  establishment. Until November 2011, 95 students had been awarded the degree of Master of Engineering Sciences, and 93 had been awarded the degree of Doctor of Engineering Sciences.  

A  relatively  small  number  of  theses  is  accompanied  by  numerous  awards  for  their  quality.  Some Masters  or Doctors  of  Science  have  continued working  at  European  and American  universities,  either  as researchers or lecturers, proving that they have acquired a high level of knowledge. Many theses have found application in the economy of the Rijeka region and elsewhere.   1.3. Openness toward student mobility     The  implemented European  credit  transfer  system  (ECTS), mandatory  stay at Croatian and  foreign universities or research institutions for at least three months as part of the doctoral programme, and so on (see Section 3.), are clear indicators of openness toward student mobility.    1.4. Possibilities of entering a joint programme with foreign universities     In  the  postgraduate  doctoral  programme  teaching  is  planned  to  be  conducted  by  lecturers  from several  foreign universities: Faculty of Mechanical Engineering, University of Ljubljana, Slovenia; Faculty of 

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Mechanical Engineering, Gliwice, Poland; Faculty for Machine Engineering, Mannheim, Germany; Faculty of Mechanical  Engineering, University  of Maribor,  Slovenia; University  of Udine, DIEGM,  Italy; University  of Tokyo,  Japan.  In addition, some  lecturers at the study programme are employed partly at the Faculty, and partly at foreign universities: Technical University Vienna, Austria; and so on.  

Furthermore,  the Faculty has established  cooperation with a great number of  foreign universities:  Bay  Zoltan  Institute  for  Materials  Science  and  Technology,  Budapest,  Hungary;  Budapest  University  of Technology and Economics, Budapest, Hungary; Cedrat Group, Grenoble, France; Civil Engineering Faculty, University of Maribor, Slovenia; Elettra, Trieste, Italy; Faculty of Engineering, Setsunan; Faculty of Mechanical Engineering,  University  of  Ljubljana,  Ljubljana,  Slovenia;  FISITA  –  International  Federation  of  Automotive Engineering Societies; Helmholtz‐Zentrum Geesthacht, Germany; GRETh, Bâtiment Lynx, SavoieTechnolac, Le Bourget du Lac – Cedex, France; Helsinki University of Technology, Espoo‐Helsinki, Finland; Indian Institute of Technology  at  Roorkee,  India;  Jožef  Božek  Institute,  ČVUT  Prague,  Czech  Republic;  Institute  for  Resource Efficient and Sustainable Systems, Graz University of Technology, Austria; Institute of Metals and Technology, Ljubljana, Slovenia;  International  Institute of Refrigeration, Paris, France;  Interuniversity Network  in Central Europe, PAMM‐Centre, Budapest University of Technology and Economics, Budapest, Hungary;  ISES – The International  Solar  Energy  Society,  Freiburg,  Germany;  Katholike  Universitat  Leuven,  Belgium;  Kielce University of Technology, Kielce, Poland; Laboratory for Heating, Sanitary and Solar Technology, University of Ljubljana,  Slovenia;  Mannheim  University  of  Applied  Sciences,  Germany  (Fachhochschule  Mannheim), Germany; Materials  Engineering,  Silesian University  of  Technology  in Gliwice, Gliwice,  Poland; Norwegian University of Science and Technology, Center of Ships and Ocean Structures, Norwegian Center of Excellence, Trondheim,  Norway;  Politecnico  di  Milano,  Italy;  Quanta  Technology,  Raleigh,  USA;  Research  and Development  Center,  Compagnie  Industrielle  d’Aplications  Thermiques  (CIAT),  Culoz,  France;  School  of Electrical and Computer Engineering, RMIT University, Melbourne, Australia; Signal Processing Research and Consultancy  Group,  Perinatal  Research  Centre,  University  of  Queensland,  Brisbane,  Australia;  Slovak University  of  Technology  in  Bratislava,  Slovakia;  Structural  Stability  Research  Council  (SSRC),  Missouri University of Science and Technology, Rolla, MO, USA; University of Mostar, Bosnia and Herzegovina; Szent Istvan  University,  Gödollo,  Hungary;  Technical  University  of  Lisbon,  Instituto  Superior  Tecnico,  Lisabon, Portugal; Technische Universität Darmstadt, FB Maschinenbau, Fachgebiet Mechatronik  im Maschinenbau, Darmstadt,  Germany;  The  University  of  Manchester,  Manchester,  Great  Britain;  University  of  Applied Sciences  of  Southern  Switzerland,  Lugano,  Switzerland;  University  of  Applied  Sciences,  Graz,  Austria; University  of  Leoben  (Montanuniversität  Leoben),  Austria;  University  of  Ljubljana,  Faculty  of Mechanical Engineering,  Slovenia;  University  of  Maribor,  Faculty  of  Mechanical  Engineering,  Slovenia;  University  of Miskolc, Faculty of Mechanical Engineering and Informatics, Hungary; University of Nantes, Polytech Nantes, Nantes, France; University of New Mexico, Electrical and Computer Engineering Department, Albuquerque, NM, USA; University  of New Mexico, NM, USA; University  of  Sao  Paulo, Brazil; University  of  Technology, Krakov,  Poland;  University  of  Trieste,  Trieste,  Italy;  University  of  Udine,  Udine,  Italy;  University  of West Bohemia,  Faculty  of  Mechanical  Engineering,  Plzen,  Czech  Republic;  University  Poznan  Institut  für Fertigungstechnik,  Vienna  University  of  Technology;  Univerza  na  Primorskem  –  Primorski  inštitut  za naravoslovne  in  tehnične  vede,  Slovenia;  Valencia  University  of  Technology,  Spain.  The  established cooperation can be directed toward the establishment of joint programmes. 

All  of  the  above  shows  objective  possibilities  of  including  the  programme  or  its  part  in  joint programmes with foreign universities as the study programme develops.  

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2. GENERAL INFORMATION      2.1. Title of the study programme   

Postgraduate doctoral study programme in the field of Engineering Sciences, in subjects Mechanical Engineering,  Naval  Architecture,  Basic  Engineering  Sciences  and  Interdisciplinary  Engineering Sciences  

  2.2. Issuing institution   

Faculty of Engineering ‐ University of Rijeka    2.3. Institutional strategy of doctoral study programme development   

Croatia joined the Bologna Process in May 2001 by signing the Bologna Declaration at the Ministerial Conference in Prague. In this way, the Faculty made a qualitative step forward and began developing a model of  a  postgraduate  doctoral  study  programme,  that  is,  adapting  the  exisiting  study  so  it  can  fit  into  the European Higher Education Area.   The main aims of the transformed postgraduate doctoral study are:   

improving postgraduate education in Croatia, 

achieving the comparability of postgraduate programmes with similar programmes in the EU,  

promoting cooperation with other universities and institutes in Croatia and abroad, 

increasing the quality of scientific research, 

advocating the specialisation of postgraduate education, 

educating doctoral students who should be at a similar  level of education as Ph.D.’s  in western Europe and the USA, 

educating  experts  who  would  be  able  to  improve  education,  science,  economy  and  other segments of our society.  

 Although there are a number of different models depending on the scientific field in which the study 

programme is organised, financial capacities, human resources, and so on, the Faculty has invested effort in organising the postgraduate programme in a serious manner so that it is based on superior scientific research and  that  it  requires  its  students  to  fully  devote  to  it.  In  achieving  the  goals,  previous  experience  in postgraduate studies and scientific  research has been seriously  taken  into consideration, not  to  forget  the significant  role  of  information  shared  by  foreign  universities  and  institutions.  The  postgraduate  scientific study programme has been carried out at the Faculty since it was established. Bearing this tradition in mind, together with existing human resources, achieving the abovementioned aims is not questionable.    

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2.4. Innovativeness of the study programme   

The postgraduate doctoral  study programme  covers  the  scientific  field of Engineering  Sciences,  in particular,  the  subjects  Mechanical  Engineering,  Naval  Architecture,  Basic  Engineering  Sciences  and Interdisciplinary Engineering Sciences. A pronounced need  for knowing physics, mathematical models and methods and computers opens up all doctoral  study modules  (Section 3.2.)  to natural  sciences, especially Mathematics  and  Computer  Science.  Even more  pronounced  is  the  interdisciplinarity  in modules  such  as Production  Technologies,  Design  and  Building  of  Naval  Vessels,  Quality  Assurance  and  Technical  System Management or  Ecological Engineering  and  Environmental Protection  in which economic,  legal  and other natural science content appears.  

The Faculty cooperates with related European universities, such as: in Croatia, Faculty of Mechanical Engineering  and Naval Architecture  in  Zagreb,  Faculty of  Electrical  Engineering  and Computing  in  Zagreb, Faculty of Electrical Engineering, Mechanical Engineering and Shipbuilding  in Split, and abroad, Technische Universität Wien in Austria, Facoltà di Ingegneria, Università degli Studi di Trieste and Università degli Studi di Udine  in  Italy,  Fakulteta  za  strojništvo  in  Ljubljana  and  Fakulteta  za  strojništvo  in Maribor  in  Slovenia, Vysoké učení technické v Brně in the Czech Republic, Technische Universiteit Delft in Netherlands, Universität Stuttgart  in  Germany,  Faculty  of  Engineering,  University  Heriot‐Watt,  Edinburgh  in  Scotland,  and  so  on. Cooperation with these insitutions is very important in carrying out doctoral studies.  

Since the Faculty was founded,  intense cooperation with  industry and the business sector has been established, especially with companies which were directly interested in the transfer of practical experience into  teaching and  in modernizing  the  teaching content,  such as  shipyards 3. MAJ and Uljanik,  factory and foundry  CIMOS  in  Buzet  and  Roč,  then  INA,  HEP,  Hrvatske  vode,  IGH,  and  others.  This  collaboration  is especially  reflected  in  the  doctoral  programme  because  complex  problems  from  the  industry  require scientific research which then turns into doctoral theses. It is clear that this kind of cooperation benefits both the academic institution and the industry which, in this way, gets new and highly competitive products.      2.5. Enrolment   

The postgraduate doctoral study programme is open to candidates who have completed appropriate university graduate studies and have acquired at least 300 ECTS credits. For students who have graduated in the  study  system before 2005,  the postgraduate  study  is open  to  those who have  completed appropriate university undergraduate studies. 

In  both  cases,  appropriate  university  undergraduate  studies  are  as  follows.  First  of  all,  university undergraduate studies of Mechanical Engineering and Naval Architecture are to be considered appropriate university undergraduate studies. For  individual cases where students have graduated  in other Engineering Sciences, Natural Sciences (especially Mathematics, Computer Science or Physics) or similar, and depending on  the module  the  student wishes  to enrol  into,  the  Faculty Council will determine whether  the  study  is appropriate and may require students to take supplemental examinations in case of enrolment. The Faculty Council has the authority  to set additional criteria  in some cases, such as  foreign  language skills, academic achievement, and so on. 

  2.6. Student selection   

Selection  process  of  applicants  is  such  that  after  the  enrolment  announcement  the  Postgraduate Studies  Committee,  based  on  the  recommendation  of  the  Commission  for  Interviews with  Postgraduate Candidates, determines which candidates fulfil the criteria and then makes a proposal to the Faculty Council which makes the final decision based on the proposal. There are a number of criteria, and they are listed in Article  9 of  the Regulations on  Postgraduate Doctoral  Study  Programme  (hereinafter: Regulations)  in  the Appendix. When applying to the Doctoral Study, the candidate must fill in the application form for admission 

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to the Doctoral Study (Appendix A of the Regulations), attach a resume (Appendix B of the Regulations) and two references (Appendix C of the Regulations), provide an official transcript of grades and other documents requested in the announcement, as well as talk to the Committee appointed by the Faculty Council.  

The selection process  is carried out  in accordance with Article 9 of  the Regulations.  Interview with the Committee primarily serves to check whether candidates have made the right selection of modules and to appoint supervisors. However, in cases when there are more candidates than the admission quota allows (see Section 4.7.), the interview will serve as the basis for student selection.    2.7. Competences and possibilities upon completion of the study programme   

Upon completion of the study programme, the students are awarded the degree of Doctor of Science, which primarily indicates that they have superior knowledge of a particular scientific field within Engineering Sciences  and  that  they  has  proven  the  ability  to  carry  out  original  scientific  research.  The  students’ competences will  include superior knowledge of  literature and unsolved problems  in a particular  field,  the ability  to design and  complete a  scientific  research project and  the ability  to publish  research  results and present these results to other scientists. Furthermore, Doctors of Science will have to be able to express their attitudes  in  the  presence  of  other  experts  in  the  field  (at  congresses,  seminars,  invited  talks  at  other institutions, and so on). At the same time they will be able to gather from the discussions with experts and peers new information that they can use in their research, and to help others as well. Their traits will have to include the desire to transfer their knowledge and experience to younger generations of students. They will also have to be highly critical, primarily toward their own research, but also toward the work of others. They will also have to be able to adapt to the changing world. 

Upon completion of the study programme, many opportunities for continuing research at the home institution or related institutions in Croatia and abroad will open up, as well as opportunities for postdoctoral training.  There will  also  be  employment  opportunities  in  the  private  and  public  sector,  especially  in  the aforementioned companies with which  the Faculty has developed cooperation with, but also elsewhere  in Croatia and abroad.    

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3. PROGRAMME DESCRIPTION      3.1. Structure and organisation of the study programme  

The organisation and functioning of the postgraduate doctoral study is defined by the Regulations.  The programme consists of: 

carrying out  scientific  research under  the  supervision and with  the help of a  supervisor or co‐supervisor which will  result  in  a doctoral  thesis;  in  this way  the  student will  acquire  90  ECTS credits, 

taking core and elective courses from the doctoral study programme, ensuring 42 ECTS credits, 

visiting other domestic or  foreign universities or  research  institutions  for a period of at  least 3 months, acquiring thus 20 ECTS credits,  

elective activities which  include presentation of  scientific  results at domestic and  international conferences, writing research papers, and similar, gaining in this way 28 ECTS credits.  

All in all, students are required to gain at least 180 ECTS credits. The doctoral programme is organised differently for full‐time and part‐time students.  For  full‐time  students,  the  programme  takes  three  years.  Classes  are  organised  in  the  first  two 

semesters;  in  the  first  semester,  students  take  five  courses,  and  in  the  second,  two. Mandatory  visit  to another research institution, which is not a part of the University, in the duration of at least three months is organised from the third semester on. Thesis registration is mandatory when enrolling into the second year of the doctoral programme.      

For part‐time students, the programme takes six years.  In other words, the process described above for  full‐time  students  takes  twice  as  long  for  part‐time  students.  In  addition,  visiting  another  research institution which  is not a part of the University,  is not mandatory for part‐time students who can earn the needed credits through elective activities.    3.2. List of modules and courses   

Teaching at the doctoral programme is organised in seven modules:  1 Production Engineering 2 Termal Power Engineering 3 Computational Mechanics  4 Design and Building of Ships 5 Mechanical Engineering Design 6 Quality Assurance and Engineering System Control 7 Ecological Engineering and Environmental Protection    All modules share four common courses, one of which is obligatory – Methodology of Scientific Work  

and  Research  –  and  the  other  three  mathematical  courses  are  elective  in  the  way  that  each  module determines whether a course  is core or elective and how many elective courses  students need  to  take. A module can have a maximum of eighteen courses. Students take at least seven courses which include, apart from common courses and module courses, any course that the doctoral programme offers at the University or elsewhere. 

  All courses  take one semester and  they  include one hour of active  teaching per week, which  is a total of 15 hours of active teaching, and students earn 6 ECTS credits per course. 

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The  list of all core and elective  courses divided  into modules  is given  in  the  following  tables. Also listed are:  

 

semesters in which courses are taught,  

lecturers, 

indication whether the courses are core (C) or elective (E) for the given module.  

Common courses 

LIST OF MODULES/COURSES  

Year of study: 1. 

Semester: 1. 

MODULE  COURSE  COURSE COORDINATOR  L  E  S  ECTS  STATUS1 

All modules 

Methodology of scientific work and research 

Prof. J. Dobrinić, D. Sc.  15  0  0  6  C 

Mathematical modeling and numerical methods 

Assoc. Prof. N. Črnjarić‐Žic, D. Sc. 

Prof. S. Maćešić, D. Sc. 

15  0  0  6  E 

Optimal control methods  Prof. S. Maćešić, D. Sc.  15  0  0  6  E 

Statistical methods and stochastic processes 

Assoc. Prof. N. Črnjarić‐Žic, D. Sc. 

15  0  0  6  E 

  

1 IMPORTANT: Insert C for compulsory course or E for elective course.

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Module 1: Production engineering 

LIST OF MODULES/COURSES Year of study: 1.* 

Semester: 1. 

MODULE  COURSE  COURSE COORDINATOR  L  E  S  ECTS  STATUS

Production engineering 

CAM, CAP, CAD/NC‐CIM   Prof. M. Perinić, D. Sc.  15  0  0  6  E 

Formability and modern forming technology 

Assoc.  Prof. Z. Jurković, D. Sc.

Assoc.  Prof. T. Pepelnjak, D. Sc. 

15  0  0  6  E 

Intelligent manufacturing systems 

 Prof. Z. Car, D. Sc. 

 Prof. K. Ohkura, D. Sc. 15  0  0  6  E 

Simulation methods in production 

Assoc.  Prof. Z. Jurković, D. Sc.

 Prof. M. Brezočnik, D. Sc. 15  0  0  6  E 

Robots and manipulators   Prof. Z. Car, D. Sc.  15  0  0  6  E 

Processes of damaging of materials 

 Prof. D. Rubeša, D. Sc.  15  0  0  6  E 

Fracture mechanics and fatigue of materials 

 Prof. D. Rubeša, D. Sc.  15  0  0  6  E 

Materials chemistry   Prof. L. Pomenić, D. Sc.  15  0  0  6  E 

Corrosion and corrosion protection 

 Prof. L. Pomenić, D. Sc.  15  0  0  6  E 

* can be selected from the list of common mathematical lectures  

LIST OF MODULES/COURSESYear of study: 1. 

Semester: 2. 

MODULE  COURSE  COURSE COORDINATOR  L  E  S  ECTS  STATUS

Production engineering 

Selected chapters on flexible manufacturing systems 

 Prof. T. Mikac, D. Sc.  15  0  0  6  E 

Selected chapters on conventional machining processes 

Academician E. Kuljanić, D. Sc. 

 Prof. G. Cukor, D. Sc. 

15  0  0  6  E 

Selected chapters on non conventional machining processes 

 Prof. G. Cukor, D. Sc.  15  0  0  6  E 

Processes plans optimization   Prof. M. Perinić, D. Sc.  15  0  0  6  E 

Production planning and control 

 Prof. T. Mikac, D. Sc.  15  0  0  6  E 

Development and production management 

Prof. M. Ikonić, D. Sc.  15  0  0  6  E 

Heat treatment and surface engineering 

 Prof. B. Smoljan, D. Sc. 

 Prof. V. Leskovšek, D. Sc. 15  0  0  6  E 

Selected chapters on materials testing 

 Prof. B. Smoljan, D. Sc. 

 Prof. L. A. Dobrzanski, D. Sc. 15  0  0  6  E 

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Module 2: Thermal power engineering 

LIST OF MODULES/COURSES Year of study: 1. 

Semester: 1.* 

MODULE  COURSE  COURSE COORDINATOR  L  E  S  ECTS  STATUS

Thermal power engineering 

Selected chapters on thermal sciences 

Prof. B. Franković, D. Sc.  15  0  0  15  C 

Numerical modelling of heat transfer  Prof. A. Trp, D. Sc.  15  0  0  15  E 

Optimization of energy processes  Prof. Z. Prelec, D. Sc.  15  0  0  15  E 

Experimental methods in heating and energy engineering 

Assoc. prof. K. Lenić, D. Sc.  15  0  0  15  E 

Selected chapters on Refrigeration and Low‐Temperature Refrigeration 

Prof. B. Pavković, D. Sc.  15  0  0  15  E 

Selected chapters on heat exchangers  Prof. A. Trp, D. Sc.  15  0  0  15  E 

Selected chapters on heating and air conditioning  Assist. prof. I. Wolf, D. Sc.  15  0  0  15  E 

Rational energy consumption  Prof. Dr.‐Ing. D. Pečornik  15  0  0  15  E 

Selected chapters on internal combustion engines  Prof. V. Medica, D. Sc.  15  0  0  15  E 

Modern engine design  Assoc. prof. T. Katrašnik, D. Sc. 

15  0  0  15  E 

Durability and reliability of thermal energy systems  Prof. E. Tireli, D. Sc.  15  0  0  15  E 

Selected chapters on marine energy systems 

Prof. T. Mrakovčić, D. Sc. Prof. emeritus Š. Milošević, D. Sc. 

15  0  0  15  E 

* can be selected from the list of common mathematical lectures  

LIST OF MODULES/COURSESYear of study: 1. 

Semester: 2. 

MODULE  COURSE  COURSE COORDINATOR  L  E  S  ECTS  STATUS

Thermal power engineering 

Selected chapters on marine machinery systems  Prof. T. Mrakovčić, D. Sc.  15  0  0  15  E 

Selected chapters on thermal turbomachines  Assist. prof. T. Senčić, D. Sc.  15  0  0  15  E 

Thermodynamic analysis of processes  Assoc. prof. K. Lenić, D. Sc.  15  0  0  15  E 

Thermodynamics of mixtures and thermal devices 

Prof. B. Franković, D. Sc.  15  0  0  15  E 

Renewable energy sources    15  0  0  15  E 

Numerical modelling of combustion processes  Prof. V. Medica, D. Sc.  15  0  0  15  E 

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Module 3: Computational mechanics 

LIST OF MODULES/COURSES  Year of study: 1. 

Semester: 1.* 

MODULE  COURSE  COURSE COORDINATOR  L  E  S  ECTS  STATUS2 

Computational m

echanics 

Elastomechanics and Plastomechanics 

Prof. J. Brnić, D. Sc. 

Prof. F. Kosel, D. Sc. 15  0  0  6  E 

Nonlinear structural analysis  Prof. G. Turkalj, D. Sc.  15  0  0  6  E 

Selected chapters on thermomechanics 

Prof. M. Čanađija, D. Sc.  15  0  0  6  E 

Vibrations and durability of machines and structures 

Prof. R. Žigulić, D. Sc. Assoc. Prof. S. Braut, D. Sc. 

15  0  0  6  E 

Protection from noise and vibrations of machines and structures 

Assoc. Prof. S. Braut, D. Sc.  

15  0  0  6  E 

Fluid Dynamics Prof. Luka Sopta, D. Sc. Assoc. Prof. Lado Kranjčević, D. Sc. 

15  0  0  6  E 

Turbomachinery Flow  Prof. Zoran Mrša, D. Sc.  15  0  0  6  E 

* can be selected from the list of common mathematical lectures  

LIST OF MODULES/COURSESYear of study: 1. 

Semester: 2. 

MODULE  COURSE  COURSE COORDINATOR  L  E  S  ECTS  STATUS

Computational m

echanics

Viscoelasticity and viscpolasticity 

Assoc. Prof. D. Lanc, D. Sc.  15  0  0  6  E 

Contact mechanics Prof. M. Čanađija, D. Sc. 

Assist. Prof. M. Brčić, D. Sc. 15  0  0  6  E 

Kinematics and dynamics of robots 

Prof. R. Žigulić, D. Sc.  15  0  0  6  E 

FEM and structural optimization 

Prof. J. Brnić, D. Sc.  15  0  0  6  E 

Stability of structures Prof. G. Turkalj, D. Sc. Prof. S. Kravanja, D. Sc. 

15  0  0  6  E 

Computational Fluid Mechanics  

Prof. Luka Sopta, D. Sc. Assist. Prof. Siniša Družeta, D. Sc. 

15  0  0  6  E 

Transient Flow Modeling Prof. Senka Maćešić, D. Sc. Assist. Prof. Jerko Škifić, D. Sc. 

15  0  0  6  E 

Turbomachinery Hydrodinamics 

Prof. Zoran Mrša, D. Sc. Assoc. Prof. Zoran Čarija, D. Sc. 

15  0  0  6  E 

   

2 IMPORTANT: Insert C for compulsory course or E for elective course.

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Module 4: Design and building of ships 

LIST OF MODULES/COURSES  

Year of study: 1. 

Semester: 1.* 

MODULE  COURSE  COURSE COORDINATOR  L  E  S  ECTS  STATUS

Design and building of 

ships 

Integrated ship production technology 

Prof. N. Fafandjel, D. Sc. 

Assist. prof. T. Matulja, D. Sc. 15 0  0  6  E 

Ship’s design methodology  Prof. B. Čalić, D. Sc.  15 0  0  6  E 

Seakeeping and manueverability 

Prof. J. Prpić‐Oršić, D. Sc.  15 0  0  6  E 

Selected chapters on ship resistance 

Prof. R. Dejhalla, D. Sc.  15 0  0  6  E 

* can be selected from the list of common mathematical lectures  

LIST OF MODULES/COURSES 

Year of study: 1. 

Semester: 2. 

MODULE  COURSE  COURSE COORDINATOR  L  E  S  ECTS  STATUS

Design and building of ships 

Shipbuilding methodology selected topics 

Prof. N. Fafandjel, D. Sc. 

Assist. prof. M. Hadjina, D. Sc. 15 0  0  6  E 

Selected chapters on ship propulsion 

Prof. R. Dejhalla, D. Sc.  15 0  0  6  E 

Selected chapters on marine dynamics 

Prof. J. Prpić‐Oršić, D. Sc.  15 0  0  6  E 

Selected chapters on ship’s design  

Prof. B. Čalić, D. Sc.  15 0  0  6  E 

Ship structural design  Prof. A. Zamarin, D. Sc.  15 0  0  6  E 

  

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Module 5: Mechanical engineering design 

LIST OF MODULES/COURSES  

Year of study: 1. 

Semester: 1.* 

MODULE  COURSE  COURSE COORDINATOR  L  E  S  ECTS  STATUS

Mechanical engineering design

  Design science  Prof. B. Križan, D. Sc.  15  0  0  6  E 

Special mechanical transmissions 

Prof. N. Lovrin, D. Sc.  15  0  0  6  E 

Contact problems in mechanical engineering elements 

Prof. D. Siminiati, D. Sc.  15  0  0  6  E 

Principles of high‐ and ultra‐high precision devices 

Prof. S. Zelenika, D. Sc.  15  0  0  6  E 

Boundary element method  Prof. B. Obsieger, D. Sc.  15  0  0  6  E 

Modelling of engineering structures 

Prof. G. Marunić, D. Sc.  15  0  0  6  E 

* can be selected from the list of common mathematical lectures  

LIST OF MODULES/COURSES 

Year of study: 1. 

Semester: 2. 

MODULE  COURSE  COURSE COORDINATOR  L  E  S  ECTS  STATUS

Mechanical engineering design

 

Selected chapters on fluid power 

Prof. D. Siminiati, D. Sc.  15  0  0  6  E 

Selected chapters on industrial transport equipment and devices  

Prof. N. Lovrin, D. Sc.   15  0  0  6  E 

Selected chapters on power transmissions  

Prof. G. Marunić, D. Sc. 

Assist. Prof. R. Basan, D. Sc. 15  0  0  6  E 

Compliant elements and mechanisms 

Prof. S. Zelenika, D. Sc. 

Prof. F. De Bona, D. Sc. 15  0  0  6  E 

Design and optimisation of gear transmissions 

Prof. B. Obsieger, D. Sc.   15  0  0  6  E 

Selected chapters on machine elements design 

Assoc. Prof. M. Franulović, D. Sc. 

15  0  0  6  E 

 

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Module 6: Quality assurance and engineering system control 

LIST OF MODULES/COURSES  

Year of study: 1. 

Semester: 1.* 

MODULE  COURSE  COURSE COORDINATOR  L  E  S  ECTS  STATUS

Quality 

assurance 

… 

Quality management  Prof. D. Pavletić, D.Sc.  15  0  0  6  C 

Production planning and control 

Prof. T. Mikac, D.Sc.  15  0  0  6  C 

* course Statistical Methods and Stochastic Processes is compulsory, while one of other courses in mathematics is optional 

 

LIST OF MODULES/COURSES 

Year of study: 1. 

Semester: 2. 

MODULE  COURSE  COURSE COORDINATOR  L  E  S  ECTS  STATUS

Quality assurance and engineering system

 

control 

Statistical process control  Prof. M. Soković, D.Sc.  15  0  0  6  E 

Design of data base  Prof. M. Pavlić, D.Sc.  15  0  0  6  E 

Business decision‐making  Prof. M. Dimitrić, D.Sc.  15  0  0  6  E 

Stochastic process information models 

Prof. J. Šimunić, D.Sc.  15  0  0  6  E 

Reliability of technical systems 

Prof. D. Matika, D.Sc.  15  0  0  6  E 

Intelligent systems  Prof. I. Ipšić, D.Sc.  15  0  0  6  E 

Microeconomics and competitiveness 

Prof. I. Štoković, D.Sc.  15  0  0  6  E 

Quality engineering  Prof. D. Pavletić, D.Sc.  15  0  0  6  E 

Safety of technical systems  Prof. D. Matika, D.Sc.  15  0  0  6  E 

      

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Module 7: Ecological engineering and environmental protection 

LIST OF MODULES/COURSES 

Year of study: 1. 

Semester: 1.* 

MODULE  COURSE  COURSE COORDINATOR  L  E  S  ECTS  STATUS

Ecological 

engineering and 

environmen

tal 

protection 

Selected chapters on environment protection 

Prof. J. Dobrinić, D. Sc.  15  0  0  6  C 

General ecology  Prof. M. Kapović, D. Sc.  15  0  0  6  C 

Protection of marine and coastal environments 

Prof. G. Kniewald, D. Sc.  15  0  0  6  C 

* can be selected one subject from the list of common mathematical lectures  

LIST OF MODULES/COURSES 

Year of study: 1 

Semester: 2. 

MODULE  COURSE  COURSE COORDINATOR  L  E  S  ECTS  STATUS

 

Ecological engineering and 

environmen

tal protection 

Environmental chemistry Prof. G. Kniewald, D. Sc.

Assist. sc. I. Sondi, D. Sc. 15  0  0  6  E 

Management of sustainable development and environmental protection 

Prof. M. Črnjar, D. Sc.  15  0  0  6  E 

Environment protection in energy and process industry 

Prof. Z. Prelec, D. Sc.  15  0  0  6  E 

Instrumentation and analytical techniques in protection of environment 

Assoc. prof. N. Orlić, D. Sc.  15  0  0  6  E 

Environment and Economics    Prof. M. Črnjar, D. Sc.  15  0  0  6  E 

Environmental refrigeration  Prof. B. Pavković, D. Sc.  15  0  0  6  E 

Atmospheric Physics  Prof. I. Orlić, D. Sc.  15  0  0  6  E 

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3.3. Core and elective activities  

Besides  taking  core  and  elective  courses  from  the  doctoral  study  programme,  ensuring  42  ECTS credits, and visiting other domestic or foreign universities or research  institutions for a period of at  least 3 months, acquiring thus 20 ECTS credits, student should gain 90 ECTS credits by following research activities: 

    Activity    ECTS credits Preparation and registration of doctoral thesis   8 Public defence of doctoral thesis theme  2 Two public presentation of research results  6  Positively reviewed doctoral thesis  50 Publishing of original scientific paper, in which student is the first author, in foreign scientific journal (or two papers in Croatian journal) indexed in Current Contents, Science Citation Index or Science Citation Index Expanded 

20 

Public defence of doctoral thesis  4  

Student  should  gain  at  least  28  ECTS  credits  through  elective  scientific  research  activities.  The publication  of  paper  in  scientific  journal  indexed  in  Current  Contents,  Science  Citation  Index  or  Science Citation Index Expanded is mandatory while all other activities are optional.  

The elective activities are graded as follows:  

  Activity    ECTS credits Paper published in international journal indexed in  CC, SCI, SCI‐Expanded 

20 

Paper published in Croatian journal indexed in  CC, SCI, SCI‐Expanded 

10 

Paper published in journal with international review   5 (max 10 ECTS credits) Paper published in proceedings of international congress   3 (max 6 ECTS credits) Presentation on international congress  2 (max 4 ECTS credits)  

In the case of more than three authors, credits are multiplied by factors as follows: ‐ 0.75 for four authors,  ‐ 0.5 for five authors, ‐ for more than five authors credits are divided by number of authors. 

 3.4. Course descriptions    The  list  of  all  courses  in  and  their  identification  numbers  is  given  in  table  below.  Then  the descriptions of all courses (in alphabetic order) are given.  

 

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No.  Course  Lecturer 

1.  CAM, CAP, CAD/NC‐CIM  Prof. M. Perinić 

2.  Formability and modern forming technology Prof. Z. Jurković Assist. prof. T. Pepelnjak 

3.  Fluid Dynamics                     Prof. L. Sopta, Assoc. prof. L. Kranjčević 

4. Experimental methods in heating and energy enginering 

Assoc. prof. K. Lenić 

5.  Elastomechanics and plastomechanics Prof. J. Brnić, Prof. F. Kosel 

6.  Atmospheric physics  Prof. I. Orlić 

7.  Turbomachinery hydrodynamics Prof. Z. Mrša, Assoc. prof. Z. Čarija 

8. Instrumentation and analytical techniques in protection of environment 

Assoc. prof. N. Orlić 

9.  Integrated ship production technology Prof. N. Fafandjel,  Assist. prof. T. Matulja 

10.  Intelligent manufacturing systems Prof. Z. Car,  Prof. K. Ohkura 

11.  Intelligent systems  Prof. I. Ipšić 

12.  Quality engineering  Prof. D. Pavletić 

13.  Selected chapters on marine energy systems Assoc. prof. T. Mrakovčić, Prof. emeritus Š. Milošević 

14.  Selected chapters on marine machinery systems  Prof. T. Mrakovčić 

15.  Selected chapters on marine dynamics  Prof. J. Prpić‐Oršić 

16.  Selected chapters on flexible manufacturing systems  Prof. T. Mikac 

17.  Selected chapters on heating and air conditioning  Assist. prof. I. Wolf 

18.  Selected chapters on fluid power  Prof. D. Siminiati 

19.  Selected chapters on materials testing Prof. B. Smoljan Assoc. prof.  L. A. Dobrzanski 

20.  Selected chapters on heat exchangers  Prof. A. Trp 

21.  Selected chapters on machine elements design  Assist. prof. M. Franulović 

22. Selected chapters on conventional machining processes 

Akademik E. Kuljanić Prof. G. Cukor 

23.  Selected chapters on shipbuilding methodology  Prof. N. Fafandjel Assist. prof. M. Hadjina 

24.  Selected chapters on internal combustion engines  Prof. V. Medica 

25. Selected chapters on non conventional machining processes 

Prof. G. Cukor 

26.  Selected chapters on ship's design   Prof. B. Čalić 

27.  Selected chapters on ship resistance  Prof. R. Dejhalla 

28.  Selected chapters on power transmissions Prof. G. Marunić, Assist. prof. R. Basan 

29.  Selected capters on ship propulsion  Prof. R. Dejhalla 

30. Selected chapters on refrigeration and low‐temperature refrigeration 

Prof. B. Pavković 

31.  Selected chapters on thermomehcanics  Prof. M. Čanađija 

32.  Selected chapters on thermal turbomachines  Assist. prof. T. Senčić 

33.  Selected chapters on thermal sciences  Prof. B. Franković 

34.  Selected chapters on Industrial transport equipment  Prof. N. Lovrin 

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and devices 

35.  Selected chapters on environment protection  Prof. J. Dobrinić 

36.  Materials chemistry  Prof. L. Pomenić 

37.  Environmental chemistry Prof. G. Kniewald Assist. sc. I Sondi 

38.  Kinematics and dynamics of robots  Prof. R. Žigulić 

39.  Design and optimisation of gear transmissions  Prof. B. Obsieger 

40.  Contact mechanics Prof. M. Čanađija Assist. prof. Marino Brčić 

41.  Contact problem in mechanical engineering elements  Prof. D. Siminiati 

42.  Corrosion and corrosion protection  Prof. L. Pomenić 

43.  Mathematical modeling and numerical methods Assoc. prof. N. Črnjarić‐Žic Prof. S. Maćešić 

44.  Fracture mechanics and fatigue of materials  Prof. D. Rubeša 

45.  Boundary element method  Prof. B. Obsieger 

46.  Optimal control methods  Prof. S. Maćešić 

47.  Simulation methods in production Assist. prof. Z. Jurković Prof. M. Brezočnik 

48.  Ship's design methodology  Prof. B. Čalić 

49.  Methodology of scientific work and research  Prof. J. Dobrinić 

50.  Microeconomics and competitiveness  Prof. I. Štoković 

51.  FEM and structural optimization  Prof. J. Brnić 

52.  Stochastic process information models  Prof. J. Šimunić 

53.  Modelling od engineering structures  Prof. G. Marunić 

54.  Modeliranje nestacionarnog strujanja u cjevovodima     Prof. S. Maćešić Assist. prof. J. Škifić 

55.  Design science  Prof. B. Križan 

56.  Nonlinear structural analysis  Prof. G. Turkalj 

57.  Numerical modelling of heat transfer  Prof. A. Trp 

58.  Numerical modeling of combustion processes  Prof. V. Medica 

59.  Renewable energy sources   

60.  Environment and Economics   Prof. M. Črnjar 

61.  General ecology  Prof. M. Kapović 

62.  Optimization of energy processes  Prof. Z. Prelec 

63.  Processes plans optimization  Prof. M. Perinić 

64.  Production planning and control  Prof. T. Mikac  

65.  Compliant elements and mechanisms Prof. S. Zelenika,  Prof. F. De Bona 

66.  Seakeeping and maneuverability  Prof. J. Prpić‐Oršić 

67.  Business decision making  Prof. M. Dimitrić 

68.  Reliability of technical systems  Assoc. prof. D. Matika 

69.  Principles of high and ultra‐high precision devices  Prof. S. Zelenika 

70.  Processes of damaging of materials  Prof. D. Rubeša 

71.  Design of database  Prof. M. Pavlić 

72.  Ship structural design  Prof. A. Zamarin 

73.  Rational energy consumption  Prof. Dr.‐Ing. D. Pečornik 

74.  Computational Fluid Dynamics Prof. L. Sopta Assist. prof. S. Družeta 

75.  Development and production management  Prof. M. Ikonić 

76.  Robots and manipulators  Prof. Z. Car 

77.  Safety of technical systems  Assoc. prof. D. Matika 

78.  Special mechanical transmissions  Prof. N. Lovrin 

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79.  Stability of structures Prof. G. Turkalj Prof. S. Kravanja 

80.  Statistical methods and stochastic processes  Assoc. prof. N. Črnjarić‐Žic 

81.  Statistical process control  Assoc. prof. M. Soković 

82.  Modern engine design  Assoc. prof. T. Katrašnik 

83.  Thermodynamic analysis of processes  Assoc. prof. K. Lenić 

84.  Thermodynamics of mixtures and thermal devices  Prof. B. Franković 

85.  Heat treatment and surface engineering Prof. B. Smoljan Prof.  V. Leskovšek 

86.  Durability and reliability of thermal energy systems  Prof. E. Tireli 

87.  Turbulent flow           Prof. Z. Mrša 

88.  Quality management  Prof. D. Pavletić 

89. Management of sustainable development and environmental protection 

Assoc. prof. M. Črnjar 

90.  Vibrations and durability of machines and structures Prof. R. Žigulić Assoc. prof. S. Braut 

91.  Viscoelasticity and viscpolasticity  Assoc. prof. D. Lanc 

92.  Protection of marine and coastal environments  Prof. G. Kniewald 

93. Protection from noise and vibrations of machines and structuctures 

Assoc. prof. S. Braut 

94. Environment protection in energy and process industry 

Prof. Z. Prelec 

95.  Environmental refrigeration  Prof. B. Pavković 

   

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Basic description

Course coordinator Ivica Orlić

Course title Atmospheric physics

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

To gain knowledge and develop understanding of principles of atmospheric physics, basic thermodynamic model, weather formation, global worming and aerosol pollution and its effect on human health.

Course enrolment requirements

No special requirements needed

Expected course learning outcomes

Familiarize students with the concepts of atmospheric physics such as thermodynamics and chemistry of the atmosphere (radiative transfer, albedo, wind, currents, weather patterns, aerosol pollution and modeling). Practical consequences of increased global pollution and effects on global warming and climate change. Fine aerosol component will be sampled and analyzed in the Physics department.

Course content

Introduction to the physics of atmosphere: A brief survey of the atmosphere The Earth System: Oceans, atmosphere, the earth’s crust and mantle, a brief history of climate, Atmospheric Thermodynamics: gas laws, hydrostatic equation, thermodynamic laws, water vapour in the air. Radiative transfer: blackbody radiation, scattering and absorption, radiative transfer and balance Atmospheric chemistry: composition of troposphere. Sources, transport and sinks. Aerosols, concentration and size distribution, anthropogenic pollution, measurements and identification of major pollutants, statistical methods. Atmospheric dynamics: general circulation, weather systems, weather prediction. Climate dynamics: climate monitoring and predictions, recent climate changes, greenhouse warming, projections of future climate.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Active participation of students in classes and project work, with presentations of seminars. Acquirement, analysis and synthesis of competences in topics being taught via readings of bibliographical references. Discussion of these topics on lectures and exercises as well as via written and oral presentations, partial and final exams

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper 1 Experimental work

1

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Written exam 0.5 Oral exam 1 Essay Research 1

Project Sustained knowledge check

1 Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Tuitions will be in form of lectures, project work and students’ seminar work. Knowledge checking during classes will be performed via two partial exams and seminars

Assigned reading (at the time of the submission of study programme proposal)

John M.Wallace, Peter V. Hobbs, Atmospheric Science, Academic Press, Elsevier Inc., 2006 David G. Andrews: An Introduction to Atmospheric Physics, Cambridge University Press (2010) Boeker, E., van Grondelle: Environmental Science: Physical Principles and Applications, John Wiley & Sons, 2001Dana Desonie, Atmosphere, Air Pollution and Its Effects, Chelsea House, 2007

Optional / additional reading (at the time of proposing study programme)

S.A.E. Johansson, J.L. Campbell and K.G. Malmqvist, Eds., Particle-Induced X-Ray Emission Spectroscopy (PIXE), John Wiley and Sons Ltd., 199 ISBN 0-471-58944-6 KR Spurny, Analytical Chemistry of Aerosols, 1999, CRC Publisher, USA.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Student’s feedback by means of survey organized by the University.

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Basic description

Course coordinator Boris Obsieger

Course title Boundary element method

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Acquiring the advanced knowledge and skills that are required to carry out calculations based on the boundary element method in the practice.

Course enrolment requirements

None.

Expected course learning outcomes

Describe boundary element method, advantages, disadvantages and field of application. Explain basic idea of the method. Compare complexity, advantages, disadvantages and field of applicability with other numerical methods. Relate expert knowledge with the boundary element method and analyse applicability in solving problems. Set up mathematical formulation of a selected problem and find a solution by boundary element method. Explore possibility of solving the selected problem by application of existing algorithms and/or by writing own computer program. Compare approaches. Analyse results on the selected problem and compare them with results obtained with some other method. Analyse influence of a type and/or a number of applied elements to convergence and to accuracy of the result. Compare with convergence and accuracy obtainable by some other method. Present the results of research.

Course content

Introduction to the boundary element method (BEM). Tensors. Partial differential equation in the heat conduction, in the elasto-mechanics and in the mechanics of fluids. Fundamental solutions (Green functions). Greens theorems. Betty-Maxwell theorem. Solving partial differential equation by integration of the boundary conditions. Equilibrium of the boundary conditions. Shape functions. Dividing a boundary into the boundary elements. Constant and linear boundary elements. Higher order boundary elements. Application of the boundary elements in calculation of the unknown boundary conditions. Numerical integration. Programming BEM. Solving nonlinear problems. Examples of application. Comparison with other numerical methods. Combining boundary elements with finite elements.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2 Experimental work

Written exam Oral exam Essay Research

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Project Sustained knowledge check

1,5 Report Practice

Portfolio Public presentation 2

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work during the course and in the final examination.

Assigned reading (at the time of the submission of study programme proposal)

Obsieger, B., Metoda rubnih elemenata I-II, Zigo, Rijeka, 2003. Obsieger, B., Numerical methods I-IV, Tehnički fakultet, Rijeka, 2011., 2012., 2014. Beer, G., Programing the Boundary Element Method, John Wiley & Sons, Ltd, Chichester, 2001.

Optional / additional reading (at the time of proposing study programme)

Banerjee, P.K., Butterfield, R., Boundary Element Methods in Engineering Science, McGraw-Hill, 1981. Banerjee, P.K.: The Boundary Element Methods in Engineering, McGraw Hill Book Co., New York, 1994.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Obsieger, B., Metoda rubnih elemenata I-II, Zigo, Rijeka, 2003. 1 1 Obsieger, B., Numerical methods I-IV, Tehnički fakultet, Rijeka, 2011., 2012., 2014.

1 1

Beer, G., Programing the Boundary Element Method, John Wiley & Sons, Ltd, Chichester, 2001.

0 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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Basic description

Course coordinator Mira Dimitrić

Course title Business decision making

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

The course objective is to provide students with knowledge and skills in elements of the business decision-making process. Through individual projects, students develop skills necessary for practical application of course topics.

Course enrolment requirements

None.

Expected course learning outcomes

After passing the exam students will be able to: 1. describe and explain the scientific views on decision making and business decision-making theory; 2. relate costs with long-term and short-term aspects of business decision-making; 3. explain application of business and financial leverage in the context of business decisions-making on investment and financing operations, and the use of various economic and financial criteria in decisions-making; 4. apply business decisions-making criteria and to explain their purpose with respect to the types and areas of business decisions-making; 5. apply techniques and methods of measuring risk in business decision making.

Course content

The interdisciplinary framework of decision-making theory. Scientific approaches to business decision-making - objective and subjective rationality. Decision-making theory - classical, neoclassical and situational. Individual and group business decisions. Laws of costs as the basis of business decisions-making - long-term and short-term aspect. Business and financial leverage. Point of indifference in business decision making. Financial criteria in business decisions. Analysis of cash flows. Benefit-cost analysis. Expected and required effects of business decisions. Types of risk, risk management and risk diversification. Traditional and advanced methods and techniques of risk measurement and business decision-making. Unconventional-optional approaches in evaluating business decisions.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar and do written exam.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam 3 Oral exam 0,5 Essay Research

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Project Sustained knowledge check

Report 0,5 Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their seminar work and on final exam.

Assigned reading (at the time of the submission of study programme proposal)

Orsag, S., Dedi, L.: Budžetiranje kapitala – Procjena investicijskih projekata, Masmedia, Zagreb, 2011. Bierman, H; Smidt, S: The Capital Budgeting Decision, Economic Analysis of Investment Projects, Routledge, London, 2006. Crundwell, F.K.: Finance for Engineers: Evaluation and Funding of Capital Projets, Springer-Verlag, London, 2008.

Optional / additional reading (at the time of proposing study programme)

Damodaran o valuaciji, Mate, Zagreb, 2010. Hillson, D.: Managing Risk in Projects, Gower, USA, 2009.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Orsag, S., Dedi, L.: Budžetiranje kapitala – Procjena investicijskih projekata, Masmedia, Zagreb, 2011.

1 1

Bierman, H; Smidt, S: The Capital Budgeting Decision, Economic Analysis of Investment Projects, Routledge, London, 2006.

1 1

Crundwell, F.K.: Finance for Engineers: Evaluation and Funding of Capital Projets, Springer-Verlag, London, 2008.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

In accordance with established quality assurance system at the Faculty.

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Basic description

Course coordinator Mladen Perinić

Course title CAM, CAP, CAD/NC-CIM

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Understanding the situation and tendencies in the development of computer application in the process planning and programming machines as essential elements of CIM.

Course enrolment requirements

No prerequisites.

Expected course learning outcomes

Identify and describe the basic features of computer aided process planning (CAPP). Identify and describe the basic features of computer aided process assembly. Analyze the assumptions for variant approach of CAPP. Analyze the assumptions for a generative approach of CAPP. Investigate and compare the capabilities of the software package SolidCAM and other software in the preparation of the NC programs.

Course content

CIM concept. Elaboration of assumptions, solutions and tendencies in the development of automation. Variant and generative approach of computer aided process planning (CAPP). Computer aided planning (CAP). Computer aided programming of numerically controlled machines, examples of software systems. Linking CAD - databases and NC - programming systems. Problems with data transfer.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Presence on teaching (consultation), solving of the project and the preparation and presentation of seminars paper.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attendance and activity on teaching, projects, seminar.

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Assigned reading (at the time of the submission of study programme proposal)

Halevi, G.: Process and Operation Planning, Kluwer Academic Publishers, London, 2003. Halevi, G., Weill, R. D.: Principles of Process Planning, Chapman & Hall, London, 1995 Groover, M. P.: Automation, Production Systems and Computer Integrated Manufacturing. Prentice Hall Inc., Englewood Clifs, New Jersey, 1987.

Optional / additional reading (at the time of proposing study programme)

Fandel, G. et al.: Operations Research in Production Planning and Control, Springer Verlag, 1992. Kusiak, A.: Intelligent Manufacturing Systems, Prentice Hall Inc., Englewood Clifs, New Jersey, 1990. El Wakil, S. D.: Processes and Design for Manufacturing, Prentice-Hall Inc., Englewood Cliffs, New Jersey, 1989.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Halevi, G.: Process and Operation Planning 1 4 Halevi, G., Weill, R. D.: Principles of Process Planning 1 4 Groover, M. P.: Automation, Production Systems and Computer Integrated Manufacturing

1 4

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution's quality assurance system.

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Basic description

Course coordinator Saša Zelenika, Francesco De Bona

Course title Compliant elements and mechanisms

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Systematic understanding as well as critical analysis and assessment of most recent scientific information in the field of compliant elements and mechanisms. Acquisition of knowledge about corresponding behaviour models as well as experimental validation of performances of this class of devices in the framework of complex design solutions. Acquisition of skills of scientific and research work as well as of synthesis of new and complex ideas. Capability of communication with experts and peers in the considered research field.

Course enrolment requirements

None.

Expected course learning outcomes

Classify types and characteristics of compliant elements and mechanisms. Assess advantages and disadvantages of various compliant devices, of the methods of modelling of their behaviour, as well as of their experimental validation. Autonomously implement principles of treated topics on project assignments. Synthetize acquired knowledge and generate innovative design solutions. Organise and plan work on project assignments. Present achieved results in a scientifically sound manner with development of skills of writing of scientific and professional publications.

Course content

Introduction to compliant elements and mechanisms. Comparison with sliding and rolling devices. Compliant elements in translation and rotation mechanisms. Parasitic displacements. Analytical approaches to the modelling of the behaviour with special emphasis on mechanical nonlinearities. Elliptical integrals and limits of their applicability. Static and dynamic analysis. Compensated compliant mechanisms. Stability problems. Materials used for the production of compliant mechanisms. Production and assembly approaches. Experimental assessment of the behaviour of compliant mechanisms. Examples of experimental measurements by using laser interferometric and other optical contactless measurement techniques. Optimisation of shape of flexures. Fatigue behaviour. Integration with actuators and measurement systems and use of integrated compliant devices on macro and micro (MEMS) scales. Scaling effects.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments /

Student’s obligations

Attendance of classes (consultations), work on project assignment as well as preparation and presentation of seminar.

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Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper 1.5 Experimental work

Written exam Oral exam Essay Research 4

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attendance of consultations, project work, seminar.

Assigned reading (at the time of the submission of study programme proposal)

L. L. Howell: Compliant Mechanisms, J. Wiley, New York (NY, USA), 2001. N. Lobontiu: Compliant Mechanisms – Design of Flexure Hinges, CRC, Boca Raton (FL, USA), 2003. S. T. Smith: Flexures - Elements of Elastic Mechanisms, Gordon & Breach, Amsterdam (NL), 2000.

Optional / additional reading (at the time of proposing study programme)

R. Frish-Fay: Flexible Bars, Butterworths, London (UK), 1962. S. T. Smith and D. G. Chetwynd: Foundations of Ultraprecision Mechanism Design, Gordon and Breach, 1992.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students L. L. Howell: Compliant Mechanisms 1 2 N. Lobontiu: Compliant Mechanisms – Design of Flexure Hinges 1 2 S. T. Smith: Flexures - Elements of Elastic Mechanisms 1 2 R. Frish-Fay: Flexible Bars 1 2 S. T. Smith and D. G. Chetwynd: Foundations of Ultraprecision Mechanism Design

1 2

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Via the institutionalised quality assurance system of the Faculty of Engineering. Constant interaction and work with the students with the aim of improving the quality of teaching. Flexible adaptation of classes to interests and needs of attending students.

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Basic description

Course coordinator Luka Sopta, Siniša Družeta

Course title Computational fluid mechanics

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Knowledge of the computational fluid mechanics necessary for solving problems from the engineering practice. Identifying problems in engineering practice solvable using computational fluid mechanics, setting up and solving such problems by use of the acquired knowledge in computational fluid dynamics.

Course enrolment requirements

None.

Expected course learning outcomes

Properly interpret finite difference, finite element and finite volume methods, and compare their advantages, disadvantages and field applicability. Properly interpret and choose the appropriate numerical methods for modeling potential flow. Properly interpret and choose the appropriate numerical methods for solving the Euler equations for compressible and incompressible fluid. Properly interprete and choose the appropriate numerical methods for modeling open channel flow. Explain numerical methods for solving the Navier-Stokes equations for viscous fluid flow and the k-ε turbulence model. Apply standard available software for fluid flow modeling in solving problems from the engineering practice.

Course content

Introduction to the finite difference, finite element and finite volume methods in fluid mechanics. Numerical methods for conservation laws. Modeling of the potential flow. Numerical methods for the Euler equations for compressible and incompressible fluid. Modeling of open channel flow. Numerical methods for the Navier-Stokes equations for viscous fluids and k-ε turbulence model.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

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32 

Written exam Oral exam Essay Research 4

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Wesseling, P. , Principles of Computational Dynamics, Springer-Verlag, Berlin, 2000. Griebel, M. , Dornseifer,T., Neunhoeffer,T., Numerical Simulation in Fluid Dynamics, SIAM, 1998. Toro, E.F. , Riemann Solvers and Numerical Methods for Fluid DynamicS, Springer-Verlag, Berlin, 1999.

Optional / additional reading (at the time of proposing study programme)

Leveque, J.R., Finite Volume Methods for Hyperbolic Problems, Cambridge Univ Press, 2002.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Wesseling, P. , Principles of Computational Dynamics, Springer-Verlag, Berlin, 2000.

1 1

Griebel, M. , Dornseifer,T., Neunhoeffer,T., Numerical Simulation in Fluid Dynamics, SIAM, 1998.

1 1

Toro, E.F. , Riemann Solvers and Numerical Methods for Fluid DynamicS, Springer-Verlag, Berlin, 1999.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

Page 34: POSTGRADUATE DOCTORAL STUDY PROGRAMME IN THE FIELD … · Postgraduate doctoral study programme 2 1. INTRODUCTION 1.1. Programme aims University of Rijeka Faculty of Engineering (hereinafter:

33 

Basic description

Course coordinator Marko Čanađija; Marino Brčić

Course title Contact mechanics

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Introduction to basic problems of contact mechanics and their analytical solutions. To apply numerical procedures needed for proper contact modelling in finite element method.

Course enrolment requirements

None.

Expected course learning outcomes

Define constitutive equations of thermomechanical contact. Define variational formulation of a contact problem. To discretize contact surfaces. Apply contact detection procedures. Apply contact mechanics numerical algorithms in finite element method. Analyse contact mechanics problems by personal or commercially available software based on finite element method.

Course content

Introduction. Basic principles of contact mechanics. Constitutive equations of thermomechanical contact. Variational formulation of contact problem. Discretization of contact surfaces. Algorithms for thermomechanical contact problems. Finite element analysis of contact problems.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their seminar work.

Assigned reading (at the time of the submission of study programme proposal)

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34 

Laursen, T. A.: Computational Contact and Impact Mechanics, Springer Verlag, Berlin, 2002. P. Wriggers: Computational Contact Mechanics, John Wiley & Sons, Berlin, 2002. Lee, S. H.: MSC/Nastran Handbook for Nonlinear Analysis, The MacNeal-Schwendler Corporation, Los Angeles, 1992.

Optional / additional reading (at the time of proposing study programme)

Zhong, Z. H.: Finite Element Procedures for Contact-Impact Problems, Oxford University Press, Oxford, 1993. Johnson, K. L.: Contact Mechanics, Cambridge University Press, Cambridge, 1987.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Laursen, T. A.: Computational Contact and Impact Mechanics, Springer Verlag, Berlin, 2002.

1 1

P. Wriggers: Computational Contact Mechanics, John Wiley & Sons, Berlin, 2002.

1 1

Lee, S. H.: MSC/Nastran Handbook for Nonlinear Analysis, The MacNeal-Schwendler Corporation, Los Angeles, 1992.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

Page 36: POSTGRADUATE DOCTORAL STUDY PROGRAMME IN THE FIELD … · Postgraduate doctoral study programme 2 1. INTRODUCTION 1.1. Programme aims University of Rijeka Faculty of Engineering (hereinafter:

35 

Basic description

Course coordinator Dubravka Siminiati

Course title Contact problems in mechanical engineering elements

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Introduction to Hertz and non-Hertz contact problems. Mathematical modeling in contact simulation. Structure optimization from the pointview of contact problems and laboratory verification of theoretical research.

Course enrolment requirements

None

Expected course learning outcomes

Analyzing of Hertz and non-Hertz problems. Appling modern numerical methods in contact simulation. Use of the commercial and own software in the analysis of contact problems. Optimizing the structure from the standpoint of contact problem. Examination of the contacts in the laboratory.

Course content

Basics of contact problems. Hertz and non-Hertz problems. Stress and the elastic nature of the contact. Contacts with small deformations. Different formulations, algorithms and discretization techniques for contact problems for geometrically linear and nonlinear case. Ideal contact and friction. Single and multiple contacts. Optimization of structural elements with the contact problem. Application of the elastooptic investigation on contact problems.

Teaching methods

x lectures x seminars and workshops

exercises long distance education fieldwork

x individual assignment multimedia and network

x laboratories x mentorship

other

Comments

Student’s obligations

Presence at lectures (consultation), solving the project task and the preparation and presentation of seminars.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2 Experimental work

1,5

Written exam Oral exam Essay Research 2

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attendance of lectures, activity in the classroom, laboratory work, preparation and presentation of a seminar paper

Assigned reading (at the time of the submission of study programme proposal)

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36 

Johnson, K. L., Contact Mechanics, Cambridge University Press, 1985. Crisfield, M. A., Non- linear Finite Element Analysis of Solids and Structures, Vol.1, John Wiley & Sons, 1995. Brnić J., Elasto i plastomehanika, Školska knjiga, Zagreb, 1996.

Optional / additional reading (at the time of proposing study programme)

Bathe, K. J., Finite Element Procedures, Prentice Hall, New Jersey, 1996. Man, K. W., Contact Mechanics using Boundary Elements, Computational Mechanics

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Johnson, K. L., Contact Mechanics, Cambridge University Press, 1985. 1 1 Crisfield, M. A., Non- linear Finite Element Analysis of Solids and Structures, Vol.1, John Wiley & Sons, 1995.

1 1

Brnić J., Elasto i plastomehanika, Školska knjiga, Zagreb, 1996. 1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

Page 38: POSTGRADUATE DOCTORAL STUDY PROGRAMME IN THE FIELD … · Postgraduate doctoral study programme 2 1. INTRODUCTION 1.1. Programme aims University of Rijeka Faculty of Engineering (hereinafter:

37 

Basic description

Course coordinator Loreta Pomenić

Course title Corrosion and corrosion protection

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Knowledge of corrosion mechanisms, causes of corrosion and methods of corrosion protection of metals and alloys.

Course enrolment requirements

No specific requirements.

Expected course learning outcomes

Understand the correlation between causes and corrosion mechanisms. Analyze factors that affect the corrosion rate. Recognize corrosion that can occur and methods for its prevention. Use of knowledge in design and manufacturing to resolve corrosion problems. Achieve an optimal corrosion protection using improved design solutions. Analyze the results of research and choose the optimal method of corrosion protection.

Course content

Classification of corrosion processes. Chemical and electrochemical corrosion of metals and alloys. Thermodynamic aspects of corrosion. Faraday law. Nernst equation. Pourbaix diagram. Corrosion cells. Factors affecting the rate of corrosion. Determination of corrosion rate. Tafel equation. Various forms of corrosion damage. Corrosion under mechanical stress. Methods of corrosion protection.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Attendance at lectures (consultation), solving the project task and preparing a seminar paper and oral presentation.

Evaluation of student’s work

Course attendance

1 Activity/Participation Seminar paper 2 Experimental work

Written exam Oral exam Essay Research

Project 3 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attendance at lectures, class participation, projects, seminars.

Assigned reading (at the time of the submission of study programme proposal)

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38 

Esih, I., Dugi. Z.: Tehnologija zaštite od korozije, Sv. 1, Školska knjiga, Zagreb, 1990. Roberge, P. R.: Handbook of Corrosion Engineering, Mc Graw-Hill, New York, 2000. Talbot, D. Talbot, J.: Corrosion Science and Technology, CRC Press, 1998.

Optional / additional reading (at the time of proposing study programme)

ASM Hanbook ,Vol. 13B Corrosion: Materials, 2005. Handbook of Cathodic Corrosion Protection – Theory and Practice of Electrochemical Protection Processes, Third Edition, W. von Baeckmann, W. Schwenk, W. Prinz, Editors, USA, 199

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Esih, I., Dugi. Z.: Tehnologija zaštite od korozije 1 2 Roberge, P. R.: Handbook of Corrosion Engineering 1 2

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution's quality assurance system.

Page 40: POSTGRADUATE DOCTORAL STUDY PROGRAMME IN THE FIELD … · Postgraduate doctoral study programme 2 1. INTRODUCTION 1.1. Programme aims University of Rijeka Faculty of Engineering (hereinafter:

39 

Basic description

Course coordinator Boris Obsieger

Course title Design and optimisation of gear transmissions

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Acquiring the advanced knowledge and skills that are required to carry out design, calculation and optimisation of gear transmissions. Solving optimisation problems by application of commercial or own methods and computer programs.

Course enrolment requirements

None.

Expected course learning outcomes

Describe types of gear transmissions and explain fundamental advantages and disadvantages of various designs. Recognise and describe optimisation problems related to gear transmissions. Specify computation and optimisation methods. Compare gear transmissions according to their advantages, disadvantages and applicability. Set up mathematical formulations of the optimisation problem. Analyse the effect of formulation variation, problem complexity and feasibility. Explore possibility to solve problems by application of existing and/or own computer programs and compare approaches. Select and adapt methods. Analyse optimisation results on the selected optimisation problem, and improve accuracy of a result by combining various methods and approaches. Research possibility and/or provide experimental proof. To explore possibility to improve existing and to develop new constructions based on the obtained optimisation results. Present the researching results.

Course content

Theory of involute and non-involute toothing. Limits of basic geometrical parameters. Interference in toothing during manufacturing and meshing. Elastic deformation of tooth and load distribution in the meshing. Loading capacity of tooth root and tooth flank. Optimisation of the basic geometrical parameters of the toothing in the respect to best efficiency of used material and expected durability. Influence of tooth geometry to lubrication. Friction, friction losses and reduction of friction losses. Heating of the tooth flank and flash temperature. Forms of obstructions and causes of defects. Mashing dynamics. Vibrations. Gear-boxes. Distribution of transmission ratios and selection of materials and geometry for transmissions with several stages. Optimisation of the structure of planet gear-boxes and combination of planet transmissions and variators. Optimisation of the structure of hybrid transmissions. Mechanisms with tooths. Special constructions of the gear pumps.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course 0,5 Activity/Participation Seminar paper 2 Experimental work

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40 

attendance Written exam Oral exam Essay Research

Project Sustained knowledge check

1,5 Report Practice

Portfolio Public presentation 2

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work during the course and in the final examination.

Assigned reading (at the time of the submission of study programme proposal)

Colburne,J.R.: The Geometry of Involute Gears, Springer-Verlag, New York, 1987. Obsieger, B.: Prijenosi sa zupčanicima, Tehnički Fakultet Rijeka, Rijeka 2012. Obsieger, B.: Prilog istraživanju nosivosti i triboloških karakteristika sinusoidnog ozubljenja,Sveučilište u Rijeci, Disertacija, Sveučilište u Rijeci, Tehnički fakultet Rijeka, Rijeka 1993.

Optional / additional reading (at the time of proposing study programme)

-

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Colburne,J.R.: The Geometry of Involute Gears, Springer-Verlag, New York, 1987.

1 1

Obsieger, B.: Prijenosi sa zupčanicima, Tehnički fakultet Rijeka, Rijeka 2012.

1 1

Prilog istraživanju nosivosti i triboloških karakteristika sinusoidnog ozubljenja,Sveučilište u Rijeci, Disertacija, Sveučilište u Rijeci, Tehnički fakultet Rijeka, Rijeka 1993.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

Page 42: POSTGRADUATE DOCTORAL STUDY PROGRAMME IN THE FIELD … · Postgraduate doctoral study programme 2 1. INTRODUCTION 1.1. Programme aims University of Rijeka Faculty of Engineering (hereinafter:

41 

Basic description

Course coordinator Mile Pavlić

Course title Design of data base

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

The course is designed to provide the student with knowledge in data base design as well as possibilities of practical application of several course objectives.

Course enrolment requirements

None.

Expected course learning outcomes

Ability to Database modeling. Translating ER model to the relational data model. Implementation the relational database.

Course content

Types of data. Semantic, numeric and physical data units. Abstractions. Entity relationship method (ER method). Structure of ER method: entity, relationship, attribute, aggregation. Limits of ER method: number of relationships and attributes types. Data analysis and modeling. Individual and group modeling. Data organization, file. Data bank. Data base. 4GL. Data dictionoary. Relational model: relation, attribute, domen, candidate for key, relation key, outer key, limitations, relation operator, normalization. Transpose of ER model to relational model. Object approach, UML/OML. Data protection. Design and building of database.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam 0,5 Essay Research 3

Project Sustained knowledge check

Report 0,5 Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Page 43: POSTGRADUATE DOCTORAL STUDY PROGRAMME IN THE FIELD … · Postgraduate doctoral study programme 2 1. INTRODUCTION 1.1. Programme aims University of Rijeka Faculty of Engineering (hereinafter:

42 

Rating project design. Oral examination.

Assigned reading (at the time of the submission of study programme proposal)

Pavlić, M., Oblikovanje baza podataka, Sveučilište u Rijeci, Rijeka, 2011. Kalpić, D., Fertalj, K., Projektiranje informacijskih sustava, FER, Zagreb, 1999.

Optional / additional reading (at the time of proposing study programme)

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Pavlić, M., Oblikovanje baza podataka, Sveučilište u Rijeci, Rijeka, 2011. 1 1 Kalpić, D., Fertalj, K., Projektiranje informacijskih sustava, FER, Zagreb, 1999.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

����� Through a structured quality assurance system of the Faculty.

Page 44: POSTGRADUATE DOCTORAL STUDY PROGRAMME IN THE FIELD … · Postgraduate doctoral study programme 2 1. INTRODUCTION 1.1. Programme aims University of Rijeka Faculty of Engineering (hereinafter:

43 

Basic description

Course coordinator Božidar Križan

Course title Design science

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Within the course students acquire the advanced knowledge and skills that are required to design mechanical engineering products by taking into consideration modern materials as well as principles and rules of embodiment design.

Course enrolment requirements

None.

Expected course learning outcomes

Ability of developing designs taking into consideration demands regarding environment, safety, ergonomics, cost, quality etc. Ability of embodiment design of components made of materials with different characteristics. Ability of identification of possible problems during the conceptual and embodiment phase of the design process.

Course content

Material selection criteria. Design of polymeric products: material characteristics, guidelines. Design of composite products: structure and characteristics of the material, guidelines. Design of ceramic products: material characteristics, guidelines. Design for safety. Design for environment. Design for ergonomics. Noise-reducing design. Cost-efficient design.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), study relevant literature, do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2 Experimental work

Written exam Oral exam Essay Research 3,5

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve doing independently their seminar work and on the public presentation of their results.

Assigned reading (at the time of the submission of study programme proposal)

Page 45: POSTGRADUATE DOCTORAL STUDY PROGRAMME IN THE FIELD … · Postgraduate doctoral study programme 2 1. INTRODUCTION 1.1. Programme aims University of Rijeka Faculty of Engineering (hereinafter:

44 

- Ashby, M. F.: Materials Selection in Mechanical Design, Butterworth/Heinemann, Oxford, 1999. - Ehrlenspiel, K.; Kiewert, A.; Lindemann, U.: Cost-Efficient Design, Springer-Verlag, Berlin/Heidelberg, 2007. - Pahl, G.; Beitz, W.: Egineering design – A systematic Approach, Springer, London, 1996. - Šercer, M.; Križan, B., Basan, R.: Konstruiranje polimernih proizvoda, Fakultet strojarstva i brodogradnje, Zagreb; Tehnički fakultet, Rijeka, 2009.

Optional / additional reading (at the time of proposing study programme)

- Peters, S.T.: Handbook of Composites, Chapman & Hall, London, 2001. - –: Tehnička keramika (prijevod s njemačkog), Fakultet strojarstva i brodogradnje, Zagreb, 2005.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Ashby, M. F.: Materials Selection in Mechanical Design 1 - Šercer, M.; Križan, B., Basan, R.: Konstruiranje polimernih proizvoda 4 - -–: Tehnička keramika 1 -

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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Basic description

Course coordinator Milan Ikonić

Course title Development and production management

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Introducing strategies, methods and principles of the development and planning of production programs and the development of production systems. Ability to analyze influential factors in keeping production. Ability to analyze the effects of business with the introduction of new or innovative products in the production program.

Course enrolment requirements

None.

Expected course learning outcomes

To interpret the core idea of marketing the product development for the global market. To compare strategies to advantages, disadvantages and applicability area. Recognise the role and actions of management in the development of production systems and operational management in managing the production process. Set the basis for management: make a choice of work organization, planning, execution and control of operations. To carry out the evaluation of performance. Analyse effects of business: the sale of products, innovation in the production program. Blueprint production without stock. Blueprint improve material and information flow. Investigate the possibility of solving problems by applying quality management. Optimizing costs and profitability. Recognise the role of quality manager: competence, motivation, confidence. Analyse the results of operations of combinations and variations of new organizational concepts.

Course content

Introduction and basic concepts. Development management: goals and objectives. Production strategies. Management in the development of production systems and operational management in the running of the production process. Construction production manager / strategic perspective. The competitiveness of the business system - development trends. Shaping the company's strategy. Strategic management. The process of strategic management. Components of strategic management. Factors organizations. Board of Directors. Executive Management - Administration. Styles strategic manager. Crisis Management. Ethics strategic managers. Strategic planning. Strategic Planning Model - The method of forced choice. The model of strategic planning of production / operations. Management focused on time. Parallel engineering. Rationalization of production. Japanese manufacturing philosophy. Integrated systems. Systems design. Strategy, process and methods of introducing a new product. Robust design. Analysis values. The modular design. Analysis of the impact of the introduction of the product in the production program of the effects of the business.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Evaluation of student’s work

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Course attendance

2 Activity/Participation Seminar paper 3 Experimental work

Written exam Oral exam 1 Essay Research

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Final exam is oral. Presentation of seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Mikac, T., Ikonić, M.: Production Management, Faculty of Engineering University in Rijeka, Rijeka, 2010. Polajnar, A.: Production Management, Faculty of Mechanical Engineering, Maribor, 1998. Buble, M. et al.: Strategic Management, Faculty of Economics, University of Split, Split, 1997.

Optional / additional reading (at the time of proposing study programme)

Stevenson, W. J.: Production / Operations Management, Richard D. Irwin, Inc., Boston, 1993. Kuzmanovic, S.: Management products, University of Novi Sad, Faculty of Technical Sciences, Novi Sad 2007.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Mikac, T., Ikonić, M.: Production Management 10 3 Polajnar, A.: Production Management 1 3 Buble, M. et al.: Strategic Management 1 3 Kuzmanovic, S.: Management products 1 3

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution's quality assurance system.

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Basic description

Course coordinator Enco Tireli

Course title Durability and reliability of thermal energy systems

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

The ability of mathematical modeling and optimization of thermal energy systems. Ability to determine cost-effectiveness of plant aging. Ability of lifetime budget estimates for thermal energy systems. Knowledge of technical and economic problems regarding reliability and optimization of thermal power plants.

Course enrolment requirements

There are no conditions

Expected course learning outcomes

Analyzing thermal power processes from the standpoint of efficiency and operation economy. Performing mathematical modeling and optimization of thermal energy systems. Defining of the possible ways to improve the efficiency of thermal power plants. Analyzing the process of components aging in thermal power plants. Defining component life estimation in thermal energy systems. Performing technical and economic analysis of the optimization issues in thermal power system reliability.

Course content

Contemporary trends in the field of thermal energy systems. Mathematical modeling and optimization of thermal energy systems. Optimization of parameters, elements and loads. Aging of the elements in thermal energy systems. Estimation of elements life assessment in thermal systems. Technical and economic problems of reliability in thermal energy systems. Reliability optimization of thermal energy systems.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Attending classes (consultation), addressing the terms of reference and the preparation and presentation of seminars.

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper 1.5 Experimental work

Written exam Oral exam Essay Research

Project 4.0 Sustained knowledge check

Report Practice

Portfolio

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Assessment and evaluation of student’s work during classes and on final exam

Attendance, class participation, projects, seminars.

Assigned reading (at the time of the submission of study programme proposal)

Popirin, L.S.: Matematičeskoe modelirovanie i optimizacija tegloenergetičeskih ustanovah, Energija, Moskva, 1978. Kapulin, S.M.: Optimizacije nadežnosti energoustanovah, Nauka, Novosibirsk, 1982. Andrjuščenko, A.I.: Nadežnost teploenergetičeskogo oborudovanija TES i AES, Visšaja škola, Moskva, 1991.

Optional / additional reading (at the time of proposing study programme)

Schroder, K.: Grosse Dampfkraftwerke, Springer Verlag, Berlin, 1968. Kam, W.L., Priddy, A.P.: Power Plant System Desing, John Wiley & Sons Inc., New York, 1985.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Popirin, L.S.: Matematičeskoe modelirovanie i optimizacija teploenergetičeskih ustanovah, Energija, Moskva, 1978.

1 1

Kapulin, S.M.: Optimizacije nadežnosti energoustanovah, Nauka, Novosibirsk, 1982.

1 1

Andrjuščenko, A.I.: Nadežnost teploenergetičeskogo oborudovanija TES i AES, Visšaja škola, Moskva, 1991.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the established system of quality assurance at the Faculty of Engineering.

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Basic description

Course coordinator Mladen Črnjar

Course title Environment and economics

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15 + 0 + 0

COURSE DESCRIPTION

Course objectives

Introduction to problems and solutions of environmental management and protection from the standpoint of engineering and management. Additional focus on the fields of energy, natural resources, water management and climate change.

Course enrolment requirements

None

Expected course learning outcomes

Adoption of theoretical and practical skills for recognition and problem solution tied to environmental management and protection, in the fields of engineering and management. Case study on usage of principles and methods of environmental protection. Utilisation of sustainability indicators. Application of DPSIR (drivers-pressures-state-impacts-responses) framework. Usage of stimulating economical measures for environmental protection. Ability to communicate with experts from other ecologically oriented fields.

Course content

Environment as a balance of cyclical processes and physical and biological interactions. Natural and anthropogenic disturbances of environmental balance. Sustainability indicators (ecological, carbon and water footprints). Principles of environmental management. DPSIR framework. Technical and managerial interventions on perturbing influences. Strategies and policies of environmental protection. Institutional, legal and economic instruments and stimulating measures for environmental management. Environmental legislation of the European Union.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

-

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report 1 Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attendance, participation, individual assignments and seminar.

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Assigned reading (at the time of the submission of study programme proposal)

Tietenberg, T.: Environmental and Natural Resources Economics, Addison Wesley, Boston, 2002 Environmental Governance Sourcebook, UNPD, Bratislava, 2003 Alliance for Global sustainability: Pathways to Sustainable European Energy Systems, Göteborg, 2011 Hoekstra, A. Y., Chapagain, A. K.: Globalisation of Water, Wiley & Sons, 2007

Optional / additional reading (at the time of proposing study programme)

Mark Maslin: Global Warming, Oxford University Press, 2009 UN Economic Commission for Europe: Guidance on Water and Adaptation to Climate Change, Geneva, 2009

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Tietenberg, T.: Environmental and Natural Resources Economics 1 1 Environmental Governance Sourcebook 1 1 Pathways to Sustainable European Energy Systems 1 1 Hoekstra, A. Y., Chapagain., A. K.: Globalisation of Water 1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through Faculty’s quality control system

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Basic description

Course coordinator Josip Brnić, Franc Kosel

Course title Elastomechanics and plastomechanics

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Training students for autonomous analyses of structural responses to elastic / plastic / elastoplastic fields.

Course enrolment requirements

None.

Expected course learning outcomes

Analyze multiaxial stress and strain. Solve problems of different types of structures. Analysis of structures: simple elastoplastic constitutive models - the yield conditions for isotropic materials; advanced elastoplastic constitutive models – the hardening. The application of analytical and numerical methods in structural analysis. Analysis of idealized and real models related to modeling of structures and their responses.

Course content

Stress and strain theory: multiaxial stress and strain. The stress tensor and the strain tensor: eigenvalues, spherical and deviatoric tensors, transformation the components. Uniaxial, plane and spatial problems of the theory of elasticity. Constitutive laws, generalized Hooke and Duhamel - Neumann law. Contact stresses. The theory of plate, bulkheads and shells. Twisting and bending of thin-walled beams. Haigh-Westergaard,s space of stress. Yield criteria: von Mises, Mohr-Coulomb, Drucker-Prager. Constitutive equations in plasticity: Saint - Venant, Prandtl-Reuss, Hencky. Elastoplastic constitutive models - hardening. The theory of limit states. Analytical and numerical elastoplastic structural analysis.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

1 Activity/Participation Seminar paper 3 Experimental work

Written exam Oral exam Essay Research 2

Project Sustained knowledge check

Report Practice

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Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Brnić, J.: Elastomechanics and Plastomechanics (in Croatian), Školska knjiga, Zagreb, 1996. Alfirević, I.: Linear Analysis of Structures (in Croatian), University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 1999. Sokolnikoff, I. S.: Mathematical Theory of Elasticity, Krieger Pub Co, 1983.

Optional / additional reading (at the time of proposing study programme)

Simo, J. C., Huges, T. J. R.: Computational Inelasticity, Springer Verlag, New York, 1998. Crisfield, M. A.: Non-linear Finite Element Analysis of Solid and Structures, / Vol. 1 , Vol. 2 /, John Wiley & Sons, New York, 2003, 2001.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Brnić, J.: Elastomechanics and Plastomechanics (in Croatian), Školska

knjiga, Zagreb, 1996 1 1

Alfirević, I.: Linear Analysis of Structures (in Croatian), University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 1999.

1 1

Sokolnikoff, I. S.: Mathematical Theory of Elasticity, Krieger Pub Co, 1983.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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Basic description

Course coordinator Zmagoslav Prelec

Course title Environment protection in energy and process industry

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Introduction to the problems of environment pollution in energy and process plants and modes of decreasing and avoidance. Study of methods and technological process which enable techno-economically and environmentally sustainable production in process and energy plants. Deriving of scientific approaches in consideration of pollution problems with the accent of the use of the best available technology and sustainable principles.

Course enrolment requirements

None

Expected course learning outcomes

Basic knowledge on process and energy plants. Know how to analyse specific pollution problems and what are consequences for the environment. Define possible solutions to avoid or to decrease environmental pollution. Scientific approach to solve various pollution problems. Knowledge on the techno-economical analyse of environment protection projects. Synthesis, analysis and interpretation of results deriving of studies concerning environmental protection. Ability to derive relevant conclusions and to choose optimum solutions. Ability to be included into the realisation of various ecological projects.

Course content

Emissions to atmosphere. Sources of emissions of CO2, SO2, NOx, particles, volatile organic compounds and other pollutants. Process and techniques to decrease emissions to the atmosphere. Pollutions by the process waste water. Typical water pollutants. Parameters of water pollution. Technologies for waste water treatment in process and power plants (primary, secondary, advanced). Technologies for sludge and mud treatment. Sources of soil and underground pollution. Underground water monitoring. Hazardous waste generation and treatment in process and energy plants. Technical and technological proceedings for the environment protection in process and energy plants, Costs of environment protection. Studies for environmental impact assessment and protection.

Teaching methods

lectures (consulations) seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Attendance on consultations, research work according to project task, written seminar paper, report of seminar paper.

Evaluation of student’s work

Course attendance

Activity/Participation Seminar paper 3 Experimental work

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Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Research activity, proceeding of seminar, report of seminar paper

Assigned reading (at the time of the submission of study programme proposal)

Prelec, Z.: Energetika u procesnoj industriji, Školska knjiga Zagreb, 1994. Kiely, G.: Environmental Engineering, Mc Graw-Hill, International Editions, 1998.

Optional / additional reading (at the time of proposing study programme)

Feretić, D. and others: Elektane i okoliš, Zagreb, 2000.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students - - -

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

By existing system of quality assurance

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Basic description

Course coordinator Goran Kniewald, Ivan Sondi

Course title Environmental chemistry

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

To introduce the students to the chemical aspects of fundamental processes on the Earth, and the techniques and analytical methods of environmental geochemistry and biogeochemistry.

Course enrolment requirements

None

Expected course learning outcomes

Students are expected to obtain a sound understanding the theoretical and practical aspects of physic-chemical analytical methods used in environmental research. Identification of principal physical, chemical, biological and geological processes related to life on Earth.

Course content

Fundamentals of general and environmental geochemistry. Composition of living matter. The cycling of water, oxygen, nitrogen and carbon in nature. Chemical oceanography. Chemical reactions in the atmosphere and photochemical smog. Heavy metals and their significance in natural systems. Geochemistry and transport of radionuclides in the environment. Transgenic organisms and genetically modified foods. Persistent organic compounds in the environment. Analytical metods and techniques of environmental chemical research.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper Experimental work

Written exam Oral exam 4.5 Essay Research

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Course attendance, project work, seminars.

Assigned reading (at the time of the submission of study programme proposal)

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Spiro, T.G. and Stigliani, W.M. (2003) Chemistry of the Environment, 2nd edition, Prentice Hall, Upper Saddle River. Manahan, S.E. (2004) Environmental Chemistry, 8th edition, CRC Press, Boca Raton.

Optional / additional reading (at the time of proposing study programme)

Resources on the web and other literature, depending on the scope of the project/seminar (approved by course coordinator)

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Spiro, T.G. and Stigliani, W.M. (2003) Chemistry of the Environment, 2nd edition, Prentice Hall, Upper Saddle River.

5 4

Manahan, S.E. (2004) Environmental Chemistry, 8th edition, CRC Press, Boca Raton.

5 4

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Quality monitoring is implemented through the quality assessment system of the Faculty of Engineering in Rijeka.

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Basic description

Course coordinator Branimir Pavković

Course title Environmental refrigeration

Study programme Postgraduate doctoral study

Course status compulsory

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Capability for analysis and synthesis. Enhancement and widening of theoretical knowledge basis in the field of environmental refrigeration and developing of knowledge necessary for the choice of environmentally friendly refrigeration systems. Developing of specific skills necessary for scientific research in environmental refrigeration.

Course enrolment requirements

None

Expected course learning outcomes

Classification and comparison of compression, absorption and alternative refrigeration processes according to their environmental impact. Description and classification of refrigerants, comparison of different applications of refrigerants, explanation of ozone depleting potential (ODP) and global warming potential (GWP). Description of past and present of the ozone in the atmosphere, description of processes of ozone destruction and their implications. Explanation of ozone depleting and global warming processes and regulations controlling production and emissions of ozone depleting and global warming substances. Description of procedures for safe operation with refrigerants during operation and maintenance of refrigeration systems. Comparison by properties and environmental impact of processes operating with natural refrigerants.

Course content

Basic processes in refrigeration and their influence on environment. Classification of refrigerants. Environmental impact of refrigerants, their sources, ozone depleting potential (ODP) and global warming potential (GWP). Ozone depleting substances (ODS) in the atmosphere. Ozone destruction processes. Pastand future of ozone: global andpolar stratospheric ozone. Implications of ozone depletion. International and Croatian regulation in production and emission of ozone depleting substances. Procedures for saferefrigerant management during ope ration and maintenance of refrigeration systems. Natural refrigerants and refrigeration processes with natural refrigerants. Refrigeration processes with decreased environmental influence. Total equivalent warming impact of a refrigeration systems.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Attendance to lectures (consultation), research project , preparation and presentation of seminar paper

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1 Experimental work

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Written exam Oral exam Essay Research 2,5

Project 2 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Tuition is performed through lectures and consultations about making of seminar work. Knowledge checking is performed through the presentation of seminar work and by oral part of examination

Assigned reading (at the time of the submission of study programme proposal)

World Meteorological Organization: Scientific Assessment of Ozone Depletion: 2006, Global Ozone Research and Monitoring Project – Report No 50, http://ozone.unep.org World Meteorological Organization: Scientific Assessment of Ozone Depletion: 2010, Global Ozone Research and Monitoring Project—Report No. 52, http://ozone.unep.org Granryd, E. et al.: Refrigerating Engineering, Part 1 -2, Dept. of Energy Technology, Royal Institute of Technology, KTH, Stockholm 2003.

Optional / additional reading (at the time of proposing study programme)

Clodic, D., Sauer, F.: The Refrigerant Recovery Book, ASHRAE Atlanta GA, 1994. Von Cube, H. L. et al.: Lehrbuch der Kältetechnik, 4 Aufl., Bd. 1-2, C.F.Müller Verlag, Heidelberg 1997.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students World Meteorological Organization: Scientific Assessment of Ozone Depletion: 2006, Global Ozone Research and Monitoring Project –

Report No 50, http://ozone.unep.org 0 1

World Meteorological Organization: Scientific Assessment of Ozone Depletion: 2010, Global Ozone Research and Monitoring Project –

Report No 52, http://ozone.unep.org 0 1

Granryd, E. et al.: Refrigerating Engineering, Part 1 -2, Dept. of Energy Technology, Royal Institute of Technology, KTH, Stockholm 2003.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the established system of quality assurance at the Faculty of Engineering.

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Basic description

Course coordinator Kristian Lenić

Course title Experimental methods in heating and energy engineering

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

The ability of analysis and synthesis. The ability of organizing and planning. Information management skills. Enhancing the theoretical knowledge in fields of experimental methods and training of skills for solving practical problems in the field of measuring, data acquisition and experimental data presentation. Training of particular skills necessary for performing of scientific-research experimental work.

Course enrolment requirements

None

Expected course learning outcomes

Describe the planning of experiments, installation and calibration of sensors as well as data acquisition systems. Describe and analyze transient phenomena in the measurement. Describe the measurement of displacement, velocity and acceleration, pressure and vacuum, flow rate and temperature. Describe thermal measurements and measurements in the field of heat and mass transfer, interpret measurements results in the boundary layer. Describe the measurement of moisture in solids, gases and bulk materials. Describe the measurement of heat of combustion of solid, liquid and gaseous fuels and solid waste. Interpret the possible ways and systems of measurement of pollution of air, water and soil as well as sampling and measurement. Plan, organize and conduct an experiment. Analyze the results of measurements and measurement error. Interpret and apply statistical methods for processing the measurement results. Prepare the report, present and interpret test results.

Course content

Basic principles. Setting up and calibrating the sensor. Transient phenomena in the measurement. Planning of experiments. Measurements of displacement, velocity and acceleration. Measurements of pressure and vacuum. Measuring the flow rate using direct and indirect methods. Temperature measurement. Low temperature measurements. Thermal and measurements in the field of heat and mass transfer. Measurements in the boundary layer. Measurements in solid and strew materials. Humidity measuring. Determining the heat of combustion of solid, liquid and gaseous fuels and solid waste. Pollution of air, water and soil as well as sampling and measurement. Data acquisition systems. Analysis of results and errors. Data processing, statistical methods. Presentation of results

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course 0.5 Activity/Participation Seminar paper 2.5 Experimental

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attendance work Written exam Oral exam Essay Research

Project 3 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Lectures (consultations) attendance and activity, projects and seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Holman, J.P., Gajda, W.J.: Experimental Methods for Engineers, Mc Graw-Hill, NY 1989. Figliola, R. S.,Beasley, D. E.: Theory and Design for Mechanical Measurements, John Wiley & Sons, NY, 2000. Eckert, E.R.G., Goldstein, R.J.: Measurements in Heat Transfer, Mc Graw-Hill Book Co. NY, 1976.

Optional / additional reading (at the time of proposing study programme)

Montgomery, D. C.: Design and Analysis of Experiments, J. Wiley & Sons, NY, 2001. Brezinšćak, M.: Mjerenje i računanje u tehnici i znanosti, Tehnička knjiga Zagreb, 1970.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Holman, J.P., Gajda, W.J.: Experimental Methods for Engineers, Mc Graw-Hill, NY 1989.

1 2

Figliola, R. S.,Beasley, D. E.: Theory and Design for Mechanical Measurements, John Wiley & Sons, NY, 2000.

1 2

Eckert, E.R.G., Goldstein, R.J.: Measurements in Heat Transfer, Mc Graw-Hill Book Co. NY, 1976.

5 2

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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61 

Basic description

Course coordinator Josip Brnić

Course title FEM and structural optimization

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Training students for autonomous analysis of stress and strain and optimization of simple and complex structures subjected to simple and complex loads using analytical methods as well as the finite element method.

Course enrolment requirements

None.

Expected course learning outcomes

Application of 1D, 2D and 3D finite elements in structural analysis. Establish basic equations of finite elements. Perform the transformation from the local to the global coordinate system: displacement vector, vector of nodal forces, finite element stiffness matrix. Analyze and apply boundary conditions. Types of the optimization of structures: sizing optimization, shape optimization, layout optimization. Development of new as well as application of existing solutions in the field of finite element structural optimization.

Course content

Numerical structural analysis based on the finite element method. Finite element model of the structure. 1D , 2D and 3D finite element structural analysis. Forming the basic equation of finite element: load vector, displacement vector and stiffness matrix. Local and global coordinate systems. The transformation of basic finite element equation to the global coordinate system. Boundary conditions and external loads. Forming the finite element equation of structure. Condensed matrix. Analysis of structural response: bulkheads, plates, shells, three-dimensional structures. Development of new finite element solutions and analysis of existing applications. Importance of structural optimization. Formulation of the optimization problem. The objective function. Constraints. Analytical and numerical methods of structural optimization. Optimization in design and manufacturing. Type of optimization problems: sizing optimization, shape optimization, layout optimization. Multiobjective optimization. The applications.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

1 Activity/Participation Seminar paper 3 Experimental work

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Written exam Oral exam Essay Research 2

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Assigned reading (at the time of the submission of study programme proposal)

Brnić, J.: Fundamentals of optimization of mechanical structures (in Croatian), Faculty of Engineering, Rijeka, 2013. Brnić, J., Čanađija, M.: Analysis of the deformable bodies by finite element method (in Croatian), Fintrade & Tours, d.o.o., Rijeka, Faculty of Engineering University of Rijeka, Rijeka, 2009. Bathe, K. J.: Finite Element Procedures, Prentice Hall, New Jersey, 1996. Rozvany, G.I.N.: Structural Design via Optimality Criteria, Kluwer Academic Publishers, Dordrecht, 1989.

Optional / additional reading (at the time of proposing study programme)

Zienkiewicz, O.C.: The Finite Element Method, Vol. 1 & 2 , Butterworth-Heinemann, 2005. Cook, R.D.: Finite Element Modelling for Stress Analysis, John Wiley & Sons, New York, 1995.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Brnić, J.: Fundamentals of optimization of mechanical structures (in Croatian), Faculty of Engineering, Rijeka, 2013.

1 1

Brnić, J., Čanađija, M.: Analysis of the deformable bodies by finite element method (in Croatian), Fintrade & Tours, d.o.o., Rijeka, Faculty of Engineering University of Rijeka, Rijeka, 2009.

1 1

Bathe, K. J.: Finite Element Procedures, Prentice Hall, New Jersey, 1996.

1 1

Rozvany, G.I.N.: Structural Design via Optimality Criteria, Kluwer Academic Publishers, Dordrecht, 1989

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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Basic description

Course coordinator Luka Sopta, Lado Kranjčević

Course title Fluid dynamics

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Within the course students acquire the Fluid Dynamics knowledge oriented towards the solution of engineering practice problems. Students should be able to recognize the problem and set up the model using their fluid dynamics knowledge.

Course enrolment requirements

None.

Expected course learning outcomes

Properly interprete Eulerian and Lagrangian flow description and use them accordingly on the basis of the physical problem. Properly interprete potential flow and Laplace equation and apply them to adequate flow problems. Describe Navier-Stokes equations and viscous flow. Distinguish and properly describe turbulence models, with emphasis on the k-ε model. Describe transients and water hammer.

Course content

Fluid kinematics. Lagrangian and Eulerian flow description. Transport theorem. Ideal fluid flow. Euler equation. Potential flow and Laplace equation. Visous flow and Navier-Stokes equation. Turbulent flow. Reynolds equation. Turbulence models. K- ε model. Compressible flow. Transients and water hammer. Free surface flows.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam Essay Research 4

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

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Assigned reading (at the time of the submission of study programme proposal)

Chorin, A.J., Marsden.: Mathematical introduction to fluid mechanics, Springer-Verlag, New York, 1991. Sreeter, V.L., Wylie E.B.: Fluid Mechanics, McGraw Hill, New York, 1985. Street, R, Watters, G, Vennard, J.K., Elementary Fluid Mechanics, Wiley, New York, 1996.

Optional / additional reading (at the time of proposing study programme)

Wylie, E.B., Streeter, V.L., Fluid Transients in Systems, Prentice-Hall, New Jersey, 1993.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Chorin, A.J., Marsden.: Mathematical introduction to fluid mechanics, Springer-Verlag, New York, 1991.

1 1

Sreeter, V.L., Wylie E.B.: Fluid Mechanics, McGraw Hill, New York, 1985. 1 1 Street, R, Watters, G, Vennard, J.K., Elementary Fluid Mechanics, Wiley, New York, 1996.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

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Basic description

Course coordinator Zoran Jurković, Tomaž Pepelnjak

Course title Formability and modern forming technology

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Application of modern concepts and methodologies for formability and modern forming technology. Acquiring new skills of the forming processes planning and software’s using. Application of artificial intelligence in modern forming processes.

Course enrolment requirements

No conditions.

Expected course learning outcomes

Defining formability. Analyzing of material formability methods. Analyzing of methods and processes in modern forming technology. Apply artificial intelligence for problem solving in modern forming technology. Apply of software’s in modern forming technology. Apply of forming technology in production problem solution.

Course content

Formability of materials. Methods of material formability. Formability tests. Technological methods of testing. Modern sheet-metal forming processes: punching, blanking, bending, deep drawing, spinning, stretch forming. Modern of bulk forming processes: upsetting, extrusion, hobbing, forging, rolling, drawing, flow forming. Nonconventional forming processes: hydroforming, hydromechanical, ultrasound, laser, high-speed forming. Incremental forming. Net-shape forming and near-net shape forming. Modelling, simulation, optimization and experimental research of modern forming technologies. Application of commercial software’s in forming technology. CAD/CAPP/CAM in forming processes. Knowledge base systems. Artificial intelligence in modern forming technology. Application of neural networks in forming technology. Genetic algorithms in forming technology.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Course attendance, experimental work, project, seminar paper and research.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1 Experimental work

0,5

Written exam Oral exam Essay Research 3

Project 1 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

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Course attendance, experimental work, project, seminar paper and research.

Assigned reading (at the time of the submission of study programme proposal)

Yanwu, X.: Modern Formability, Hanser Gardner, ISBN-13:978-1-56990-392-6, 2006. Wagoner, R. H., Chenot, J. L.: Metal Forming Analysis, Cambridge University Press, ISBN 0-521-64267-1, 2001. Hosford, W. F., Caddeli, R. M.: Metal Forming, Cambridge University Press, ISBN 978-0-521-88121-0, 2007.

Optional / additional reading (at the time of proposing study programme)

Lange, K.: Handbook of Metal Forming, Publisher: McGraw Hill Book Company, ISBN 0-07-036285-8, 1985. Lenard, J. G.: Metal Forming Science and Practice, Publisher: Elsevier Science Ltd., ISBN 0-08-044024-X, 2002.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Yanwu, X.: Modern Formability 1 1 Wagoner, R. H., Chenot, J. L.: Metal Forming Analysis 1 1 Hosford, W. F., Caddeli, R. M.: Metal Forming 1 1

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Basic description

Course coordinator Domagoj Rubeša

Course title Fracture mechanics and fatigue of materials

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Familiarisation with and understanding of processes of crack initiation and growth, and of fracture as their consequence, under various loading conditions, and specially under variable (cyclic) loading; acquiring knowledge on methodology of failure analysis, methods of damage tolerant design, fatigue prediction, fracture toughness testing and constitutive modelling of material’s behaviour under fatigue conditions.

Course enrolment requirements

None.

Expected course learning outcomes

After having completed this course the student is able to explain the causes and mechanisms of crack initiation and growth, and of fracture as their consequence, under static as well as variable (cyclic) loading, apply the concepts and methods of linear-elastic and non-linear, elastic-plastic fracture mechanics to design calculations of load bearing components and structures containing cracks, assess the lifetime of a component or a structure subjected to mechanical, thermal and thermo-mechanical fatigue or creep-fatigue interaction, find out the type and the cause of fracture by applying basic fractographic methods, experimentally determine the fracture toughness and other material specific measures of crack resistance, explain the aim and the fundamental principles of constitutive modelling of material’s behaviour under conditions of fatigue and apply appropriate constitutive models to predict the materials response to variable loadings.

Course content

Definition, types and consequences of fracture; factors influencing brittle fracture; energy balance criterion for crack growth; fracture toughness testing and experimental determination of other fracture relevant material properties; application of concepts and methods of fracture mechanics to a damage tolerant design of load bearing components and structures; failure analysis; fractography. Fatigue fracture; high-cycle and low-cycle fatigue; stress assisted corrosion crack growth; thermal fatigue; creep-fatigue interaction; assessment of fatigue damage and prediction of lifetime of components and structures under various loading conditions. Relation between fracture mechanics and damage mechanics; constitutive modelling of material’s behaviour under fatigue conditions.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments The proportion of teaching methods depends on the number of students and their individual needs and preferences.

Student’s obligations

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Completion of various types of assignments: solutions of specific problems, expositions, excerpts or reviews.

Evaluation of student’s work

Course attendance

Activity/Participation Seminar paper 4 Experimental work

Written exam Oral exam 1 Essay Research

Project Sustained knowledge check

1 Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of student’s work and achievements are based on a sustained knowledge check in the course of discussions on general and specific topics which were studied, the quality of student’s assignments and a final check of the reached level of understanding of the elaborated themes.

Assigned reading (at the time of the submission of study programme proposal)

Gross, D., Seelig, Th.: Fracture Mechanics: with an Introduction to Micromechanics, Springer, Berlin, 2006. Hertzberg, R. W.: Deformation and Fracture Mechanics of Engineering Materials, 4th ed., Wiley, New York, 1995. Janssen, M., Zuidema, J., Wanhill, R. J. H.: Fracture Mechanics, 2nd ed., Spon Press, Abingdon, 2004.

Optional / additional reading (at the time of proposing study programme)

ASM Handbook, Vol. 19: Fatigue and Fracture, ASM International, Materials Park, OH, 2005. Haibach, E.: Betriebsfestigkeit : Verfahren und Daten zur Bauteilberechnung, 3. Aufl., VDI-Verlag, Düsseldorf, 2006. Suresh, S.: Fatigue of Materials, 2nd ed., Cambridge University Press, Cambridge, UK, 2001.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Gross, D., Seelig, Th.: Fracture Mechanics: with an Introduction to Micromechanics

1 0

Hertzberg, R. W.: Deformation and Fracture Mechanics of Engineering Materials

1 0

Janssen, M., Zuidema, J., Wanhill, R. J. H.: Fracture Mechanics 1 ASM Handbook, Vol. 19 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

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Basic description

Course coordinator Miljenko Kapović

Course title General ecology

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 8 Number of hours (L+E+S)

COURSE DESCRIPTION

Course objectives

Introduction to the general ecological standards relating to the protection of the environment within the engineering activity.

Course enrolment requirements

No specific requirements

Expected course learning outcomes

Upon course completion students should be well trained in skills and have knowledge in general ecological standards related to environmental engineering and environment protection.

Course content

Through Croatian geographical and natural features observe the laws of ecology, the scientific basis of ecology and the protection of nature and environment. Particularly elaborate pollution of water, air and soil as a result of human activities, climate changing and/or waste disposal. Also, in what way these changes are related to our health and environment. Finally, what is the environmental protection policy.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Evaluation of student’s work

Course attendance

Activity/Participation Seminar paper 3 Experimental work

Written exam Oral exam Essay Research 2

Project Sustained knowledge check

Report 3 Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Evaluation of the seminar paper and the final exam

Assigned reading (at the time of the submission of study programme proposal)

Glavač,V. (2001). Uvod u globalnu ekologiju. Zagreb: Sveučilišna naklada. BIOLOŠKA RAZNOLIKOST HRVATSKE, drugo izmijenjeno izdanje, Državni zavod za zaštitu prirode,

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Ministarstvo kulture Republike Hrvatske, Zagreb, 2009.

Optional / additional reading (at the time of proposing study programme)

Molles, M.C. Ecology: Concepts and Applications, 5th Edition, McGraw-Hill Higher Education, 2010. Freeland, J.R; Petersen, S.D; Kirk H. Molecular Ecology, 2nd Edition. Wiley-Blackwell, 2011.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Central evaluation and quality assurance system of the Faculty.

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Basic description

Course coordinator Božo Smoljan, Vojteh Leskovšek

Course title Heat treatment and surface engineering

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Gaining knowledge of heat treatment and surface engineering. Mastering the methods of design and modelling of heat treatment and surface engineering.

Course enrolment requirements

There are no requirements.

Expected course learning outcomes

Define the theoretical insights regarding to the heat treatment of steel and other metal alloys. Analyse a heat treatment possibilities of steel and non-ferrous metal alloys. Analyse a heat treatment possibilities of cast alloys. Analyse a surface engineering processes. Analyse a criteria for selecting the optimum process of heat treatment and surface engineering. Evaluate the methods of prediction results of heat treatment surface engineering steel, non-ferrous metal alloys and cast alloys. Analyse and define test methods of results of heat treatment.

Course content

The theory of heat treatment of metals (hardening mechanisms, phase transformation, heating, cooling). Heat treatment and properties of metals. Processes and equipment of heat treatment and surface engineering. Unconventional methods of heat treatment and surface engineering. The combined processes of modification of metal. Modelling of heat treatment and surface engineering. The energy aspect of heat treatment and surface engineering. Optimization of thermal processing and surface engineering.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Course attendance (consultation), working out the project tasks and preparation and presentation of seminars.

Evaluation of student’s work

Course attendance

1 Activity/Participation Seminar paper 0,5 Experimental work

Written exam 1 Oral exam 1 Essay Research 2

Project 0,5 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Written and oral examination.

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Assigned reading (at the time of the submission of study programme proposal)

Jena, A.: Phase transformation in materials, The Prentice Hall, 1992. Theory and technology of Quenching, ed. Lišćić B., Tensi, H. and Luty, W., Springer Verlag, Berlin, 1992. Prabhudev, T.: Handbook of Heat Treatment of Steels, McGraw-Hill, New York, 1988.

Optional / additional reading (at the time of proposing study programme)

Kraus, G.: Principles of Heat Treatment of Steel, ASM Metals Park, Ohio, 1980. ASM Handbook Vol. 4: Heat Treating, ASM, Metals Park, Ohio, 1991.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Jena, A.: Phase transformation in materials 1 2 Theory and technology of Quenching, ed. Lišćić B., Tensi, H. and Luty, W.

1 2

Prabhudev, T.: Handbook of Heat Treatment of Steels 1 2

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution's quality assurance system.

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Basic description

Course coordinator Neven Lovrin

Course title Selected chapters on industrial transport equipment and devices

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Within the course students acquire the advanced knowledge and develop the ability to calculate, design and apply industrial transport equipment and devices in industrial praxis.

Course enrolment requirements

None.

Expected course learning outcomes

Acquiring knowledge and skills on the design, calculation, application and analysis of industrial transport equipment and devices. Ability to develop design of industrial transport equipment and devices, taking into consideration demands regarding reliability, safety, quality, cost, ecology, ergonomics, engineering ethics, etc. Ability to use commercial software solutions and/or to develop own software solutions for calculation, analysis and optimization of industrial transport equipment and devices. Developing the skills of scientific presentations of the selected design solutions.

Course content

Introduction. Transport of materials and people. Historical development. The importance and place of transport in the industry. Basic concepts, application, divisions and characteristics of industrial transport equipment and devices. Application of transport logistics, green transport logistics, transportation ecology and engineering ethics in industrial transport equipment and devices. Occasional transport, continuous transport, vertical transport. Design and calculation of industrial transport equipment and devices. Hand and motor driven industrial vehicles. Small transport devices. Lifts and ropeways. Forklifts and pallets. Application of expert systems and computers for the calculation of industrial transport equipment and devices. Automation of work, an integrated and flexible transportation systems. Directions for further development of industrial transport equipment and devices.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), study relevant literature, complete assigned project work, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2 Experimental work

Written exam Oral exam Essay Research 3,5

Project Sustained knowledge check

Report Practice

Portfolio

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Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve doing independently their seminar work and on the public presentation of their results.

Assigned reading (at the time of the submission of study programme proposal)

Spivakovsky, A., Dyachkov, V.: Conveying Machines, Mir Publishers, Moscow, 1985. Trešćec, I.: Teorija, proračun i primjena transportera s gumenom trakom, Zavod za produktivnost, Zagreb, 1983. Šćap, D.: Transportni uređaji, Fakultet strojarstva i brodogradnje, Zagreb, 2004.

Optional / additional reading (at the time of proposing study programme)

Dundović, Č., Hess, S.: Unutarnji transport i skladištenje, Pomorski fakultet, Rijeka, 2007. Fleddermann, C. B.: Engineering Ethics, Pearson Prentice Hall, New Jersey, USA, 2008.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Spivakovsky, A., Dyachkov, V.: Conveying Machines, Mir Publishers, Moscow, 1985.

1 1

Trešćec, I.: Teorija, proračun i primjena transportera s gumenom trakom, Zavod za produktivnost, Zagreb, 1983.

1 1

Šćap, D.: Transportni uređaji, Fakultet strojarstva i brodogradnje, Zagreb, 2004.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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Basic description

Course coordinator Nada Orlić

Course title Instrumentation and analytical techniques in protection of environment

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Developing in knowledge about importance of experiment and experimental methods for new scientific lawfulness forming. Connection between the results of experimental and theoretical research and professional learning.

Course enrolment requirements

None.

Expected course learning outcomes

The results of theoretical problem solving distinguish than those obtained by measurements. The theoretical knowledge connect with the results of measurement; direct and indirect measurements differ from each other. Identify environmental factors and connection them with professional learning. Found the problem, analyse it and choose the most appropriate analytical techniques for solving problem. Analyze and compare the results of elemental composition of the sample obtained by different spectroscopic methods and techniques. Compare the results of measurements of radioactivity in the environment by different methods and choose the method. Investigate sources of noise, choose instrumentation for measuring it, and the possibilities of its reduction connect with previously acquired professional learning. Analyze and compare the systems for measuring the gas composition of the atmosphere as well as those for measuring the composition of soil and water.

Course content

Measurement and errors in measurement. Calibration of instrumentation. Environmental factors. Direct and indirect measurements.Telemetry. Monitoring. Spectroscopic methods and techniques. Analytical techniques for the determination of trace elements. Atomic absorption, polarometry, x-ray spectroscopy. Measurement of radioactivity in the environment. Noise and instrumentation for the measurement of noise. Measuring nonionizating radiation. Systems for measuring the gas composition of the atmosphere. Systems for measurements of water and soil composition.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Presence on teaching (consultation) collecting and studying, addressing and terms of references and the preparation and presentation of seminars.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam Essay Research 1,5

Project 2,5 Sustained knowledge check

Report Practice

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Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attendance, class participation, projects, seminar

Assigned reading (at the time of the submission of study programme proposal)

Thomas, M. : Ultraviolet and Visible Spectroscopy, John Wiley & Sons, New York, 1996. Dean, J.R.: Atomic Absorption and Plasma Spectroscopy, John Wiley & Sons, New York, 1997.

Optional / additional reading (at the time of proposing study programme)

Stuart, B., George, B., and McIntyre, P. : Modern Infrared Spectroscopy, John Wiley & Sons, New York, 1996. Valković, V. : Trace Element Analysis, Taylor & Francis Ltd, London, 1975.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Thomas, M. : Ultraviolet and Visible Spectroscopy 1 1 Dean, J. R. : Atomic Absorption and Plasma Spectroscopy 1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution's quality assurance system.

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Basic description

Course coordinator Nikša Fafandjel, Tin Matulja

Course title Integrated ship production technology

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Acquiring of theoretical and practical knowledge of various shipbuilding processes integration. Solving of related problems by using appropriate methods, techniques and tools.

Course enrolment requirements

None.

Expected course learning outcomes

Analysis of the core shipbuilding processes. Operational research methodology application to shipbuilding technology. Analysis and optimization of the shipyard production areas. Analysis of the planning and management processes. Evaluation of modern concepts of shipbuilding production processes. Analysis of information systems within shipbuilding processes (CAD / CAM / CIM). Synthesis of the of the preparatory process structure against the product 3D-model. Application of production engineering and evaluation of computer aided manufacturing. Integration of hull construction, outfitting and painting. Production equipment spatial configuration analysis. Evaluation of shipyard production processes automation and integration. Analysis of the integrated quality management system and transport equipment.

Course content

The core shipbuilding processes. Operations research methodology in shipbuilding. Modern methods and tools for shipyard production areas design. Planning and management processes. Modern concepts of shipbuilding production processes. Information systems within shipbuilding processes (CAD / CAM / CIM). Preparatory process structure. Product 3D-model. Production Engineering. Computer aided manufacturing. Integration of hull construction, outfitting and painting. Production equipment spatial configuration. Shipyard production processes automation and integration. Integrated quality management. Transport equipment.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

The students are required to attend the classes (consultations), resolve research assignments, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

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78 

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their research assignments and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Lamb, T., et al.: A Review of Technology Development. SNAME, Transactions, Vol. 103, 1995. Storch, R. L. et al.: Ship Production, SNAME, New Jersey, 1995. Winston, W.L.: Introduction to Probability Models: Operations Research, Vol. 2, 4th edition, Duxbury Press, 2003.

Optional / additional reading (at the time of proposing study programme)

Internat. group of authorities, T. Lamb–editor: Ship Design and Construction. SNAME. Jersey City, 2003. The National Shipbuilding Research Program: Integrated Hull Construction, Outfitting and Painting. U.S. Department of Transportation, May 1983. Winston, W. L.: Operations research - Applications and Algorithms. Duxbury Press, Belmont, 1994. Saaty, L. T.: The Analitic Hierarchy Process. RWS Publications, Pittsburg, 1996.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Lamb, T., et al.: A Review of Technology Development. SNAME, Transactions, Vol. 103, 1995.

1

Storch, R. L. et al.: Ship Production, SNAME, New Jersey, 1995. 1 Winston, W.L.: Operations research - Applications and Algorithms. Duxbury Press, Belmont, 1994.

1

Internat. group of authorities, T. Lamb–editor: Ship Design and Construction. SNAME. Jersey City, 2003.

1

The National Shipbuilding Research Program: Integrated Hull Construction, Outfitting and Painting. U.S. Department of Transportation May 1983.

1

Saaty, L. T.: The Analitic Hierarchy Process. RWS Publications, Pittsburg, 1996.

1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

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Basic description

Course coordinator Zlatan Car, Kazuhiro Ohkura

Course title Intelligent manufacturing systems

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Provides a theoretical and practical knowledge of the problems in modelling, simulation and analysis of complex intelligent system, which is based on the study of specific structures and applications of modern architecture in manufacturing.

Course enrolment requirements

No conditions.

Expected course learning outcomes

Analyze trends in modern production environment (globalization, computerization, ecology, etc.). Define intelligence system. Define and describe the individual modern concepts of modelling manufacturing systems. Analyze the application of the methodology reconfiguration and modularity. Analyze the application of artificial intelligence methods to optimize production systems. Describe virtual reality in the design process and reconfiguration of the production system. Describe the relationship between humans and production systems. Implement the modelling of complex systems using the ready-made software programs. Analyze the application of object modelling.

Course content

Analysis of trends in modern manufacturing environment. Analysis of CIM production; definition of classical CIM production in modern manufacturing environment. Multi-agent based intelligent manufacturing. Introduction in new concepts for addressing the shortcomings in the organization, information sharing and control of classical CIM production systems; fractal, holonic, and biological. Fractal Manufacturing Systems; Holonic Manufacturing Systems; definition, Biological Production Systems; definitions, basic individuals, problems, applications. The introduction of mass terms customatization and active reconfiguration of production systems. Methods for optimizing production systems based on artificial intelligence methods. Application of genetic algorithms, artificial neural networks and reinforcement learning method for modelling and management of modern production systems in real time. Object modelling of manufacturing systems. Software for modelling and management of modern production systems.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Presence on teaching (consultation), resolving the project task and the preparation and exposure of seminars.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3 Project Sustained knowledge Report Practice

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check Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attendance, activities in classes, projects, seminar.

Assigned reading (at the time of the submission of study programme proposal)

Ueda, K.: Biological Manufacturing Systems, Kogyochosakai Pub. Comp. Tokyo, 1994. Koren, Y., Ulsoy, A. G.: Reconfigurable Manufacturing Systems, Engineering Research Centre for Reconfigurable Machining Systems (ERC/RMS) Report #1, The University of Michigan, 1997. Warnecke, H. J.: The Fractal Company - A Revolution In Corporate Culture, Germany, 1993. Bangsow S.: Manufacturing Simulation with Plant Simulation and Simtalk: Usage and Programming with Examples and Solutions, Springer, 2010.

Optional / additional reading (at the time of proposing study programme)

Kovacs, G. L., Haidegger, G.: Integration in manufacturing: From FMS and FMC to CIM, Computer integrated manufacturing, Vol. 2, New York, 1992. Langton, C. G., editor, "Artificial Life III", Addison-Wesley, 1993. Banks J., Carson S. J., Nelson L. B., Nicol M. D.: Discrete-Event System Simulation (5th Edition), Prentice Hall, 2009.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Ueda, K.: Biological Manufacturing Systems 1 2 Koren, Y., Ulsoy, A. G.: Reconfigurable Manufacturing Systems, Engineering Research Centre for Reconfigurable Machining Systems (ERC/RMS) Report #1

1 2

Bangsow S.: Manufacturing Simulation with Plant Simulation and Simtalk: Usage and Programming with Examples and Solutions

1 2

Banks J., Carson S. J., Nelson L. B., Nicol M. D.: Discrete-Event System Simulation

1 2

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

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Basic description

Course coordinator Ivo Ipšić

Course title Intelligent systems

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Within the course students will get familiar with the use of methods and procedures needed for development of intelligent systems.

Course enrolment requirements

none

Expected course learning outcomes

Outcomes of the course are: understanding of methods and procedures used for intelligent system development understanding of the architecture of intelligent systems use of software for intelligent system development preparation and development of databases of learning examples used in intelligent system development

Course content

Introduction to intelligent systems, definitions, functions and features. Problem-solving as a search procedure: state space search, graph theory, search strategies: forward and backward-chaining, backtracking. Intelligent agents. Expert systems. Knowledge presentation schemes. Planning. Automatic learning and reasoning. Symbolic algorithms: decision-tree, version space, clustering procedures. Connectionist algorithms: characteristics of neural networks. Semantic analysis. Spoken dialog systems. Dialog modeling.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper 1.5 Experimental work

Written exam Oral exam Essay Research 4

Project Sustained knowledge check

Report Practice

Portfolio

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Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

1.N. Pavešić. Raspoznavanje vzorcev. ZAFER Ljubljana 1995. 2. L. Gyergyek, N. Pavešić, S. Ribarić: Uvod u raspoznavanje uzoraka, Tehnička knjiga Zagreb, 1988. 3.Russell, S., Norvig, P., Artificial Inteligence: A Modern Approach, Prentice Hall, Englewood Cliffs, 1995.

Optional / additional reading (at the time of proposing study programme)

4. Huang, X. D., A. Acero and H. W. Hon (2000). Spoken Language Processing: A Guide to theory, Algorithm and System Development, Prentice Hall, New Jersey, USA. 5. Jurafsky, D., and J. Martin (2000). Speech and Language Processing, An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Upper Saddle River, New Jersey: Prentice Hall.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students N. Pavešić. Raspoznavanje vzorcev. ZAFER Ljubljana 1995. 1 L. Gyergyek, N. Pavešić, S. Ribarić: Uvod u raspoznavanje uzoraka 0 Russell, S., Norvig, P., Artificial Inteligence: A Modern Approach 0

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

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Basic description

Course coordinator Roberto Žigulić

Course title Kinematics and dynamics of robots

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Introducing students to the issues of kinematics, dynamics and vibrations analysis on the real example of industrial robot and manipulator. Mathematical setting of the problem and its solving by using of appropriate methods and software as well as adequate experimental verification.

Course enrolment requirements

None.

Expected course learning outcomesoptional

Setting a mathematical formulation of the kinematics, dynamics and vibrations on a real example of industrial robots. Analyze the possibilities and limitations of available software solutions for a given problem and implement numerical analysis of kinematics, dynamics and vibrations of the default configuration of robots in such software. Propose measures to reduce vibration and improve the positioning pins robotic arms.

Course content

Analysis of kinematic and dynamic characteristics of planar and spacial mechanisms. Method of kinematic and dynamic synthesis of mechanisms. Kinematic chains. Conversion of the rotational motion into translational. Kinematics of position and inverse kinematics. Polinomial aproximation of motion trajectory . Dynamic analysis of mechanisms. Lagrange equations. Force and moment control. Recursive equations of motion of robot. Modelling of harmonic, damped and forced vibrations of the robot. Sensors for the vibration measuring. Vibration reduction of the robot. Analysis of kinematics, dynamics and vibrations of industrial robots and manipulators by using vector, graphic and matrix methods

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

1

Written exam Oral exam Essay Research 2

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

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84 

Attendance, class participation, projects, seminar.

Assigned reading (at the time of the submission of study programme proposal)

Klafter, R.D., Chmielewski, T.A., Negin, M.: Robotic Engineering, An integrated Aproach, Prentice Hall, 1989. Selig, J.M.: Introductory robotics, Prentice Hall, London, 1992. Artobolevskij, I.I: Teorija mehanizmov, Moskva, 1965.

Optional / additional reading (at the time of proposing study programme)

Desoyer, K.: Geometrie, Kinematik und Kinetik von Industrierobotern, Internationaler Sommerkurs Rechnergestuetze Produktion und Robotertechnik, TU Wien, 1992. Vukobratović, M.: Primjenjena dinamika manipulacijskih robota, Tehnička knjiga, Beograd,1990.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Klafter, R.D., Chmielewski, T.A., Negin, M.: Robotic Engineering, An

integrated Aproach 1 0

Selig, J.M.: Introductory robotics 1 0 Artobolevskij, I.I: Teorija mehanizmov, Moskva, 1965. 0 0

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Basic description

Course coordinator Mladen Črnjar

Course title Management of sustainable development and environmental protection

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15 + 0 + 0

COURSE DESCRIPTION

Course objectives

Understanding of natural resources management system and principles of environmental protection in sustainable development. Perceive contemporary economic and ecological problem and demonstrate ability to solve them on local, national and international level. Preparation for understanding of sustainable development policies implementation process.

Course enrolment requirements

None

Expected course learning outcomes

Explanation of natural resources management system. Segmentation of sustainable development system. Understanding of contemporary economic and ecological problems. Demonstration of sustainable development policy implementation process. Dealing with problems on local, national and international level.

Course content

Contemporary ecological problems. Problems of development and environmental protection. Terminological determinants of sustainable development. Important characteristics of sustainable development. Sustainable development as a political and social process. Natural resources management and sustainable development. Role of business in the process of implementing sustainable development. New role of state in forming and implementing sustainable development. Ecological accounting. Measuring sustainability through GNP. Adjusting of local, national and global economies for implementation of sustainable development. Designing national and international environmental protection policies as a segment of sustainable development.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Attendance, participation, individual assignments and seminar.

Evaluation of student’s work

Course attendance

1 Activity/Participation Seminar paper 3 Experimental work

Written exam Oral exam Essay Research 2

Project Sustained knowledge check

Report Practice

Portfolio

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86 

Assessment and evaluation of student’s work during classes and on final exam

Attendance, participation, individual assignments and seminar.

Assigned reading (at the time of the submission of study programme proposal)

Črnjar, M., Črnjar, K.,: Menadžment održivog razvoja, Fakultet za menadžment u turizmu i ugostiteljstvu u Opatiji Sveučilišta u Rijeci, Glosa, Rijeka, 2009 Baker, S. i dr.: The Politics of Sustainable Development, Routhledge, London, 1997 Schmidheny, S.: Novim smjerom: globalni poslovni pristup razvoju i okolišu, Društvo za unapređenje kvalitete življenja, Zagreb, 1995

Optional / additional reading (at the time of proposing study programme)

Dresner, S.: the Principles of Sustainability, Earthscan, 2002 Bell, S., Morse, S.: Measuring Sustainability: Learning by Doing, Earthscan, 2003

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Črnjar, M., Črnjar, K.,: Menadžment održivog razvoja, Fakultet za menadžment u turizmu i ugostiteljstvu u Opatiji Sveučilišta u Rijeci, Glosa, Rijeka, 2009

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

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Basic description

Course coordinator Loreta Pomenić

Course title Materials chemistry

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Knowledge of the chemical structure and properties of technical materials and their specific changes. Optimization of the existing properties of materials and researching new properties and methods.

Course enrolment requirements

No specific requirements.

Expected course learning outcomes

Connect structure and chemical properties of metals, ceramics and polymers. Analyze the possible application of the material with respect to the chemical properties. Analyze the electrode processes and electrochemical properties of metals and alloys with regard to the environment and mechanical loads. Connect the chemical composition and structure of materials with electrical properties. Explore new methods achieving new quality material thin films or coatings with respect to the contact surface. Select methods and develop procedures to achieve the objectives.

Course content

Classification of materials. The relationship between chemical structure and properties of metals, ceramics and polymers. Electrochemistry (electrode processes, electrolysis, galvanic cell). Thermo chemistry. Photochemistry. Metallic glasses. The structure and properties of thin films and interfaces. High-temperature superconductors. Materials for storage and transport of energy and information. Molecular conductors.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Attendance at lectures (consultation), solving the project task and preparing a seminar paper and oral presentation.

Evaluation of student’s work

Course attendance

1 Activity/Participation Seminar paper 2 Experimental work

Written exam Oral exam Essay Research

Project 3 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attendance at lectures, class participation, projects, seminars.

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Assigned reading (at the time of the submission of study programme proposal)

Callister, W. D.: Fundamentals of Materials Science and Engineering, John Wiley & Sons, Inc., 2001. West, A. R.: Basic Solid State Chemistry, Wiley, 1988. Atkins, P., De Paula, J.: ATKINS′ Physical Chemistry, Seventh Edition, Oxford University Press, Oxford, 2002.

Optional / additional reading (at the time of proposing study programme)

Choetham, A. K., Day, P.: Solid –State Chemistry Techniques, Calderon Press, Oxford, 1987. Adamson, A., W., Gast, A. P.: Physical Chemistry of Surface, Sixth Edition, John Wiley & Sons, Inc., 1997.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Callister, W. D.: Fundamentals of Materials Science and Engineering 1 2 Atkins, P., De Paula, J.: ATKINS′ Physical Chemistry 1 2

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

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89 

Basic description

Course coordinator Nelida Črnjarić-Žic

Course title Mathematical modeling and numerical methods

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Knowledge of the mathematical modeling based on ordinary and partial differential equations, necessary for solving problems in engineering. Mathematical formulation of the problem, definition of the model and its solving with the aid of appropriate methods and software.

Course enrolment requirements

None.

Expected course learning outcomes

Connect mathematical models with typical physical phenomena; distinguish between mathematical models based on ordinary and on partial differential equations. Correctly interpret fundamental ideas and characteristics of the numerical methods for ordinary differential equations, as well as their advantages and defects. Define typical mathematical models in engineering; recognize and describe them within engineering problems. Set mathematical formulation of the problem; analyze complexity and solvability of the problem. Define appropriate numerical model of a given problem with the aid of existing software and/or by writing new software. Compare different approaches. Evaluate and analyze obtained results. Improve accuracy of results with combination of different approaches.

Course content

Models based on ordinary differential equations. System dynamics and chaos. Numerical solution with the finite difference method. Runge-Kutta methods. Models based on partial differential equation in fluid mechanics, thermodynamics and elasticity theory. Variational principle. Conservation laws for mass, momentum and energy applied to continuum mechanics. Boundary value problems for Laplace and Poisson equations; applications. Equation of diffusion of heat and concentration. Wave equation. Propagation of sound and equations in acoustics. Solving of systems of linear equations. Direct and indirect methods. Numerical solution of Laplace equation, equation of heat transport and wave equation by finite difference method. Short introduction to finite element and finite volume methods.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Course attendance (consultations), solving project assignment, preparing and presenting the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

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Written exam Oral exam Essay Research

Project 4 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Course attendance, project, seminar paper.

Assigned reading (at the time of the submission of study programme proposal)

Strang, G.: Introduction to applied mathematics, Wellesley-Cambridge Press, Cambridge, 1986 Chapra, S.C., Canale, R.P.: Numerical methods for engineers, McGraw Hill Book Co., 1989 Press, W.H., Taukolsky, S.A., Flannery, B.P., W.T.: Numerical recipes, Cambridge Press, 1986

Optional / additional reading (at the time of proposing study programme)

LeVeque, J.R., Finite Volume Methods for Hyperbolic Problems, Cambridge Univ. Press, 2002 Cheney, W., Kincaid, D.: Numerical mathematics and computing, Thomson Brooks/Cole, 2004.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Strang, G.: Introduction to applied mathematics, Wellesley-Cambridge Press, Cambridge, 1986

2 5

Chapra, S.C., Canale, R.P.: Numerical methods for engineers, McGraw Hill Book Co., 1989

2 5

Press, W.H., Taukolsky, S.A., Flannery, B.P., W.T.: Numerical recipes, Cambridge Press, 1986

2 5

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

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Basic description

Course coordinator Julijan Dobrinić

Course title Methodology of scientific work and research

Study programme Postgraduate doctoral study

Course status compulsory

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Introduction into fundamentals of science theory and factors. Distinction between of science and technology. Interaction between theoretical knowledge and application in organisation and realisation of the scientific research.

Course enrolment requirements

None.

Expected course learning outcomes

Give important fundamentals of scientific theory, and focus on its interaction with other relevant fields. Distinguish the scientific from professional work using knowledge of scientific work factors. Analyse the scientific development, and its status today in the world and in the Republic of Croatia. Describe important parts of the scientific investigation. Pinpoint several factors of the scientific work. Describe the methodology of scientific work and research. Analyse the types of technology in scientific publicing.

Course content

Theory of science: notion, development. Relation between science and technology. Distinction between scientific and professional work. Scientific system. Scientific category. Scientific activity. Scientific research: experimental, theoretical, and their mutual interaction. Methodology of scientific research: notion, scientific methods. Research in technology. Dissemination of the results: written papers, sorts, and importance. Scientific work in industry. Scientific work at university.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam Essay Research

Project 4 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work be based on the results their achieve in their project and the seminar work.

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92 

Assigned reading (at the time of the submission of study programme proposal)

Zelenika, R.: Metodologija i tehnologija izrade znanstvenog i stručnog djela,4. izd., Ekonomski fakultet u Rijeci, Rijeka, 2000. Ivanović, Z.: Metodologija izrade znanstvenog i stručnog djela, Hotelijerski fakultet Opatija, Opatija, 1996.

Optional / additional reading (at the time of proposing study programme)

Baban, Lj.<et al.>: Primjena metodologije znanstvenog istraživanja, Ekonomski fakultet Sveučilišta "Josipa Jurja Strossmayera" u Osijeku, Osijek, 1993. Pavić, H.: Znanstvene informacije, Školska knjiga, Zagreb, 1980.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Zelenika, R.: Metodologija i tehnologija izrade znanstvenog i stručnog

djela,4. izd., Ekonomski fakultet u Rijeci, Rijeka, 2000. 20 20

Ivanović, Z.: Metodologija izrade znanstvenog i stručnog djela, Hotelijerski fakultet Opatija, Opatija, 1996.

20 20

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

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93 

Basic description

Course coordinator Igor Štoković

Course title Microeconomics and competitiveness

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Understanding the content in the field of microeconomics and competitiveness.

Course enrolment requirements

None.

Expected course learning outcomes

Explaining basic notions of microeconomics. Analysing market balance model. Explaining general balance theory and market efficiency. Explaining price forming mechanisms in global market. Defining general notions of competitiveness. Applying competitiveness indicator.

Course content

Introduction in microeconomics. Demand. Usefulness and choice. Individual demand curve. Market curve of demand and elasticity. Offer and elasticity of supply. Production function. Costs. Profit maximization. Market balance models in the perfect competition market, in imperfect competition market: Monopol, Oligopol. Market of production factor, labour, land, capital. General balance theory and market efficiency. Price forming in global market. The impact of tariffs and quotas. Subsidies. Defining notions of competitiveness. Macroeconomics and microeconomics access to competitiveness. Competitiveness factors. Significance of prices and influence and meaning of quality. The role of the Internet. Competitiveness indicator. How to improve competitiveness? Position of Croatian businessmen in global market.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Project task solving, seminar preparing and presentation and taking oral exam.

Evaluation of student’s work

Course attendance

Activity/Participation Seminar paper 2 Experimental work

Written exam Oral exam 0,5 Essay Research 3

Project Sustained knowledge check

Report 0,5 Practice

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94 

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Project task evaluation. Oral exam

Assigned reading (at the time of the submission of study programme proposal)

Babić, M., Mikroekonomska analiza, Mate, Zagreb, 1997. Koutsoyiannis, A., Moderna mikroekonomika, Mate, Zagreb, 1996. Pindyck, R.S., Rubinfeld, D.L., Microeconomics, 5th ed., Prentice Hall, New Jersey, 2001.

Optional / additional reading (at the time of proposing study programme)

Besanko, D., Braeutigam, R.R., Microeconomics-An Integrated Approach, J. Willey & Sons, NY, 2002. Varian, H.R., Intermediate Microecoomics, A Modern Approach, W.W.Norton & Comp., New York, 2003.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Babić, M., Mikroekonomska analiza, Mate, Zagreb, 1997. 1 2 Koutsoyiannis, A., Moderna mikroekonomika, Mate, Zagreb, 1996. 1 2 Pindyck, R.S., Rubinfeld, D.L., Microeconomics, 5th ed., Prentice Hall, New Jersey, 2001.

1 2

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

In accordance with established quality assurance system at the Faculty. Students portfolio.

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Basic description

Course coordinator Gordana Marunić

Course title Modelling of engineering structures

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

The insight into power and limitations of recent modelling, evaluation and presentation of design in concurrent engineering environment.

Course enrolment requirements

None.

Expected course learning outcomes

Interpret the power and limitations of new engineering design technologies. Distinguish and evaluate the problems by use of geometrical solid and complex surface modelling. Implement the model visualization possibilities for creative problem solution in concurrent engineering surrounding. Plan and produce design model.

Course content

The recent levels of geometrical modelling. New technologies and tools in concurrent engineering environment for the enhancing of designer creativity and productivity (modelling by regular features, modelling by freeform features). The choice of modelling method. The model visualization through engineering design process. The aims and neighbouring disciplines.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the achievement.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

The attendance and activity during classes/consultations, the achieved research results. .

Assigned reading (at the time of the submission of study programme proposal)

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Nasr, E.A., Kamrani, A.: Computer Based Design and Manufacturing, Springer Science +Business Media, LLC, New York, 2010. Shah, J.J., Mäntylä, M.: Parametric and Feature-based CAD/CAM – Concepts, Techniques and Applications, Wiley, New York, 1995.

Optional / additional reading (at the time of proposing study programme)

Surhone, L. M., Timpledon, M. T., Marseken, S. F.: Solid modeling, VDM Publishiong House Ltd., Beau Bassin, 2010.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Nasr, E.A., Kamrani, A.: Computer Based Design and Manufacturing,

Springer Science +Business Media, LLC, New York, 2010. 1 1

Shah, J.J., Mäntylä, M.: Parametric and Feature-based CAD/CAM – Concepts, Techniques and Applications, Wiley, New York, 1995.

0 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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Basic description

Course coordinator Tomaž Katrašnik

Course title Modern engine design

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Adoption of theoretical and experimental knowledge and skills in scientific research in the field of internal combustion engines and their applications.

Course enrolment requirements

There are no conditions

Expected course learning outcomes

Classification of performances and levels of development of the engine and its systems and components. Connecting the expertise and capabilities in applied scientific research to analyzing the problems in the profession. Defining the goals and scientific research methods in analyzing proposals of modern engine designs. To analyze the possible application of certain research methods in the definition and analysis of specific problems. To investigate the influence of some new solutions to the characteristics and properties of the engine system and its individual parts. Analyzing opportunities and new areas of application solutions to achieve optimal performances of modern engines.

Course content

Advanced design of the engine. Engine design concepts. Functional groups and their integration. Systems monitoring, control, management and protection of the engine. Maintenance, components and recyclability. Modern methods of balancing the crank mechanism. Acoustic characteristics. The mechanical and thermal load of parts. Heat transfer in the engine construction. The influence of the thermal characteristics of engines, components and emissions. Experimental methods. Experimental testing of engines. The influence of engine supercharging system at steady and transient engine operating conditions. Turbocharging for diesel engines with different numbers of cylinders. Effect of cooling to the engine characteristics. Possibilities to improve the dynamic characteristics of the engine. Ecology compatibility and sustainability in modern engine design

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Attending classes (consultation), addressing the terms of reference and the preparation and presentation of seminars.

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper 1.5 Experimental work

Written exam Oral exam Essay Research Project 4.0 Sustained knowledge Report Practice

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check Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attendance, class participation, projects, seminars.

Assigned reading (at the time of the submission of study programme proposal)

Watson, N., Janota M.S.: Turbocharging the Internal Combustion Engine, Macmillan Publishers Ltd., London, 1984. Stone, 1. R.: Introduction to Internal Combustion Engines, 2nd ed., Publ. by SAE Inc., Warrendale, 1993. Blair, G.P.: Advances in Two-Stroke Cycle Engine Technology, PT-33, Publ. by SAE, Warrendale, 1995.

Optional / additional reading (at the time of proposing study programme)

Holman, J.P.: Heat Transfer, Mc.Graw-Hill, Singapore, 1989. Urlaub, A.: Verbrennungsmotoren, Bd. 1-3, Springer Verlag, Berlin, 1995.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Watson, N., Janota M.S.: Turbocharging the Internal Combustion Engine, Macmillan Publishers Ltd., London, 1984.

1 1

Stone, 1. R.: Introduction to Internal Combustion Engines, 2nd ed., Publ. by SAE Inc., Warrendale, 1993.

1 1

Blair, G.P.: Advances in Two-Stroke Cycle Engine Technology, PT-33, Publ. by SAE, Warrendale, 1995.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the established system of quality assurance at the Faculty of Engineering.

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Basic description

Course coordinator Goran Turkalj

Course title Nonlinear structural analysis

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient Number of hours (L+E+S)

COURSE DESCRIPTION

Course objectives

Students will be qualified for nonlinear stress and strain analyses of load-carrying structures.

Course enrolment requirements

None.

Expected course learning outcomes

Determine stress and strain tensors for geometrically nonlinear problems. Apply Lagrangian and Eulerian decriptions. Determine nonlinear displacement field of a beam structure. Analyse large rotation effects. Derive tangent stiffness matrix of a beam element. Set-up incremental equilibrium equations. Apply incrementa-iterative solving schemes. Analyse the influence of external and internal moments on equilibrium equations. Carry-out corresponding correction stiffness matrices. Determine constitutive equations for materially nonlinear problems. Apply plastic zone and plastic hinge methods in elasto-plastic analyses of structural responses.

Course content

Geometrical and material nonlinearities. Stress and strain tensors for nonlinear problems. Virtual work principles. Lagrangian (total & updated) and Eulerian approaches in nonlinear structural analysis. Numerical approaches for nonlinear problems solving. Finite element method (FEM) applications. Tangential stiffness matrix of finite elements. Incremental-iterative solving schemes. Non-commutative character of large space rotations. Nonlinear field of a beam cross-section. Conservative and non-conservative external moments. Correction stiffness matrices for quasitangential, tangential and axial moments, respectively. Analysis of elasto-plastic structures: plastic zone and plastic hinge methods. Yielding function. Prandtl’s flow rule. Plastic reduction matrix of a finite element.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

1 Activity/Participation Seminar paper 3 Experimental work

Written exam Oral exam Essay Research 2

Project Sustained knowledge check

Report Practice

Portfolio

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Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Chen, W. F., Han, D. J.: Plasticity for Structural Engineers, J. Ross Publish., Fort Lauderdale, 2007. Doyle, J. F.: Nonlinear Analysis of Thin-Walled Structures, Springer, New York, 2001. Chan, S. L., Chui, P. P. T.: Non-Linear Static and Cylic Analysis of Steel Frames with Semi-Rigid Connections, Elsevier, Amsterdam, 2000. McGuire, W., Gallagher, R. H., Ziemian, R. D.: Matrix Structural Analysis, John Wiley & Sons, New York, 2000.

Optional / additional reading (at the time of proposing study programme)

Belytschko, T., Liu, W. K., Moran B.: Nonlinear Finite Elements for Continua and Structures, John Wiley & Sons, Chichester, 2000. Basar, Y., Weicherter, D.: Nonlinear Continuum Mechanics of Solids, Springer-Verlag, 2000. Yang, Y. B., Kuo, S. R.: Theory and Analysis of Nonlinear Framed Structures, Prentice Hall, N.Y., 1994.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Chen, W. F., Han, D. J.: Plasticity for Structural Engineers, J. Ross Publish., Fort Lauderdale, 2007.

1 X

Doyle, J. F.: Nonlinear Analysis of Thin-Walled Structures, Springer, New York, 2001.

1 X

Chan, S. L., Chui, P. P. T.: Non-Linear Static and Cylic Analysis of Steel Frames with Semi-Rigid Connections, Elsevier, Amsterdam, 2000.

1 X

McGuire, W., Gallagher, R. H., Ziemian, R. D.: Matrix Structural Analysis, John Wiley & Sons, New York, 2000.

1 X

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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Basic description

Course coordinator Vladimir Medica

Course title Numerical modeling of combustion processes

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Adoption of theoretical and experimental knowledge and skills in scientific research in the field of combustion and application of the combustion processes.

Course enrolment requirements

There are no conditions

Expected course learning outcomes

Classify the level of models for the numerical simulation of the combustion processes. Compare models and their benefits to the chosen applications area. Associate expert knowledge and numerical simulation models to identify and to select appropriate models for analyzing problems in the profession. Set up a mathematical model formulation for the numerical simulations, choose the most suitable methods of integration and appropriate models for certain combustion processes. To analyze the possible application of some models in the definition and for the analysis of specific problems in combustion. To investigate the influence of various parameters on combustion processes in selected terms. Analyze opportunities and areas of optimal control and the application of the combustion processes.

Course content

Introduction to the combustion. Conservation equations for fluid flow with chemical reactions. Thermodynamics of chemical reactions. Chemical equilibrium. The kinetics of chemical reactions. Chemistry of combustion. The premixed combustion. Diffusion combustion processes controlled by mass transfer. Flames. Detonation. Ignition and quenching the flame. The combustion of liquid fuels. The combustion of solid fuel. Flame stabilization. The formation of pollutants and its control. Environmental issues in combustion. Numerical modeling of the combustion processes. Domain discretization methods. Methods for solving systems of equations for flow problems with chemical reactions. Special methods for solving systems of equations. Modern methods of experimental validation of numerical models.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Attending classes (consultation), addressing the terms of reference and the preparation and presentation of seminars.

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper 1.5 Experimental work

Written exam Oral exam Essay Research Project 4.0 Sustained knowledge Report Practice

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check Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attendance, class participation, projects, seminar.

Assigned reading (at the time of the submission of study programme proposal)

Warnatz, J., Maas, U., Dibble, R.W.: Combustion, Springer Verlag, Berlin, 1996. Annamalai, K., Puri, I. K.: Combustion Science and Engineering, CRC Press, Boca Raton, 2007. Turns, S. R.: An Introduction to Combustion, McGraw Hill, Boston, 2000.

Optional / additional reading (at the time of proposing study programme)

Strehlov, R.A.: Combustion Fundamentals, McGraw Hill Book Co., New York, 1988. Glassman, I.: Combustion, 3rd edition, Academic Press, San Diego, 1996.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Warnatz, J., Maas, U., Dibble, R.W.: Combustion, Springer Verlag, Berlin, 1996.

1 1

Annamalai, K., Puri, I. K.: Combustion Science and Engineering, CRC Press, Boca Raton, 2007.

1 1

Turns, S. R.: An Introduction to Combustion, McGraw Hill, Boston, 2000. 1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the established system of quality assurance at the Faculty of Engineering.

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Basic description

Course coordinator Anica Trp

Course title Numerical modelling of heat transfer

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Enhancing the theoretical knowledge in fields of mathematical modelling and numerical solving, as well as training of skills for solving practical numerical problems in fields of heat transfer processes. Training of skills necessary for performing of scientific-research work in field of technical sciences.

Course enrolment requirements

None.

Expected course learning outcomes

Classify the basic forms of heat transfer, interpret their differences and fundamental characteristics. Associate professional knowledge and apply the relevant physical laws on the formulation of the specific problems of heat transfer. Set and describe the mathematical formulation for solving a given thermodynamic problem. Analyze and characterize the assumptions and simplifications adopted in the selected mathematical model. Evaluate and analyze their possible impact on the accuracy of the results as well as on the calculation time required. Investigate possibilities of numerical solving and select and implement appropriate numerical method. Define and describe the discretisation equations of the mathematical model using the selected numerical method. Perform numerical calculations of temperature, velocity and pressure fields using a self written computer program or using a commercial computer program for numerical simulations of heat transfer. Analyze the results and perform specific conclusions and explanations based on the linking of expertise and the results obtained. Present research results in the form of research works.

Course content

Mathematical description of physical processes. Mass, momentum and energy conservation laws. Vector and differential form of fluid flow and heat transfer equations. Initial and boundary conditions. Differential and integral forms of the general transport equation. Classification of partial differential equations. Main types of heat transfer processes and appropriate numerical methods. Control volume method for conduction problems. Discretisation equations. Control volume method for calculation of fluid velocity and temperature distributions in forced convection problems. Discretisation equations and discretisation schemes for convection-diffusion problems. Solution algorithms for pressure-velocity coupling. Control volume method for calculation of fluid velocity and temperature distributions in natural convection problems. Discretisation equations. Solution of discretised equation systems. Control volume method for unsteady conduction and convection problems. Explicit, Crank-Nicolson and fully implicit schemes. Implementation of initial and boundary conditions. Control volume method for heat transfer in phase change processes. Conservation laws and discretisation equations. Computer codes for numerical simulations of heat transfer processes.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

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The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper 1 Experimental work

Written exam Oral exam Essay Research 2.5

Project 2 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Lectures (consultations) attendance and activity, projects and seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Welty,J.R.,Wicks,C.E.,Wilson,R.E.:Fund.of Momentum, Heat&Mass Transfer,J.Wiley&SonsInc,NY,1984. Versteeg, H.K.,Malalasekera,W.: An Introduction to Computational Fluid Dynamics: The Finite Volume Method, Longman Scientific & Technical, Essex, 1995. Patankar, S. W.: Numerical Heat Transfer and Fluid Flow, Hemisphere Publishing Corp., NY, 1980.

Optional / additional reading (at the time of proposing study programme)

Minkowicz,W.J., et al.: Handbook of Numerical Heat Transfer, J.Wiley&Sons Inc, NY, 1988. Lewis,R.W.,et al.: Numer.Methods in Heat Transfer,Vol I,II,III, J.Wiley&SonsInc,NY,1981,1983,1985.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Welty,J.R.,Wicks,C.E.,Wilson,R.E.:Fund.of Momentum, Heat&Mass Transfer,J.Wiley&SonsInc,NY,1984.

1 2

Versteeg, H.K.,Malalasekera,W.: An Introduction to Computational Fluid Dynamics: The Finite Volume Method, Longman Scientific & Technical, Essex, 1995.

1 2

Patankar, S. W.: Numerical Heat Transfer and Fluid Flow, Hemisphere Publishing Corp., NY, 1980.

1 2

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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Basic description

Course coordinator Senka Maćešić

Course title Optimal control methods

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Knowledge of the optimal control methods necessary for detecting optimal control problems in engineering practice. Mathematical formulation of the optimal control problem and its solution through the application of appropriate methods and software.

Course enrolment requirements

None.

Expected course learning outcomes

Classify optimal control methods, explain fundamental ideas of the methods, and compare methods based on their advantages, defects and area of application. Connect engineering knowledge and mathematical methods; recognize and describe optimal control problems in practice. Set mathematical formulation of the optimal control problem; analyze effects of formulation variations, complexity and solvability of the problem. Analyze possibility of application of particular optimal control method on a given problem, compare and chose a method. Explore possibility to solve problem with existing software and/or by writing new software. Compare approaches. Analyze optimization results; improve accuracy by combination and variation of methods and/or approaches.

Course content

Optimal control problems in engineering. Optimal control of stationary phenomena. Optimal control of non-stationary phenomena. Optimal shape design. Calibration of model parameters. Optimal control in problems with permutations and grouping. Optimal control methods. Powell methods. Steepest descent method and conjugate gradient direction method. Simulated annealing method. Simplex method. Integer programming. Dynamic programming. Genetic algorithms and genetic programming. Software for optimal control problems.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Course attendance (consultations), solving project assignment, preparing and presenting the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam Essay Research

Project 4 Sustained knowledge check

Report Practice

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Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Course attendance, project, seminar paper.

Assigned reading (at the time of the submission of study programme proposal)

Winston, W. L.: Operations Research Application and Algorithms, Duxbury Press, Belmont, 1993 Press, W. H. at al.: Numerical Recipes in C, 2nd ed. University Press, Cambridge, 1990 Goldberg, E. D.: Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Publishing Company, New York, 1989

Optional / additional reading (at the time of proposing study programme)

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Winston, W. L.: Operations Research Application and Algorithms, Duxbury Press, Belmont, 1993

1 1

Press, W. H. at al.: Numerical Recipes in C, 2nd ed. University Press, Cambridge, 1990

1 1

Goldberg, E. D.: Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Publishing Company, New York, 1989

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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Basic description

Course coordinator Zmagoslav Prelec

Course title Optimization of energy processes

Study programme Postgraduate doctor study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Develop competences to analyses optimization problems, to define tasks of energy process optimization, to solve defined optimization problem, to synthesize results and to define final conclusions of the work.

Course enrolment requirements

None

Expected course learning outcomes

Analyse energy processes from standpoint of the efficiency and economic operation. Define positions and causes of energy in the processes. Define possible modes to improve the efficiency of operation. Define expected results of the optimization. Derive technical and economical analysis of the optimization procedure.

Course content

Analysis of energy processes (steam systems, gas systems, cogeneration systems, combined systems, total systems). Optimization of energy system parameters, structure and capacity. Mathematic modelling of energy processes. Criterions for analysis and comparison. Analysis of costs (operation, investment and environmental). Optimization of energy systems in phases of designing, operation and planning. Optimization of energy systems basing on the environmental protection. Analysis of energy losses, energy recovery. Increasing of energy and exergy efficiency. Energy, exergy and economical analysis of processes. Economical analysis of rational energy use. Techno-economical optimization. Case studies.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

The students are required to attend consultations, to prepare and to present their seminar work.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation 2,5 Seminar paper Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Based on results of research work and written seminar paper

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Assigned reading (at the time of the submission of study programme proposal)

Prelec, Z.: Energetika u procesnoj industriji, Školska knjiga, Zagreb, 1994. De Renzo D.J.: Cogeneration Technology and Economics for the Process Industries, Noyes Data Corporation, New Jersey, 1983. Bejan A. and coautors: Thermal Design and Optimization, John Wiley and Sons Inc., New York,1996.

Optional / additional reading (at the time of proposing study programme)

Haywood R.H.: Analysis of Engineering Cycles, Pergamon Press, Oxford, 1987. Reis, A., Smith I.: Energy Economic and Management in Industry, Vol. 1, Vol. 2, Pergamon Press, 1984.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Prelec Z.: Energetika u procesnoj industriji, Školska knjiga, Zagreb, 1994. 10 De Renzo D. J.: Cogeneration Technology and Economics for the Process Industries, Noyes Data Corporation, New Jersey, 1983.

1

Bejan A. and coautors: Thermal Design and Optimization, John Wiley and Sons Inc., New York,1996.

1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the institution’s quality assurance system

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Basic description

Course coordinator Saša Zelenika

Course title Principles of high- and ultra-high precision devices

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Systematic approach as well as critical analysis and assessment of most recent scientific information about components and assemblies of high- and ultra-high precision devices. Acquisition of knowledge about high-precision design principles in the framework of complex project solutions. Acquisition of skills of scientific and research work as well as of synthesis of new and complex ideas. Capability of communication with experts and peers in the considered research field.

Course enrolment requirements

None.

Expected course learning outcomes

Classify components and assemblies of high- and ultra-high devices based on study of relevant literature. Assess advantages and disadvantages of alternative solutions so as to achieve high precisions. Autonomously implement principles of treated topics on project assignments. Synthetize acquired knowledge and generate innovative design solutions. Organise and plan work on project assignments. Present achieved results in a scientifically sound manner with development of skills of writing of scientific and professional publications.

Course content

Introduction to high- and ultra-high precision devices. Principles of precision, accuracy and resolution. Elements of high- and ultra-high precision devices. Conventional machine elements. Compliant elements and mechanisms. Kinematic mounts. Hertz theory of contact stresses. Elastic averaging. Alignment principles and structural and metrological loops. Material choice for high- and ultra-high precision devices. Scaling of mechanical properties. Principles of design of high-precision assemblies. Mechanical design of high-precision machine tools. Error compensation of production tools. Measurement systems and principles as well as characteristics of these systems in high-precision devices. High-precision actuators. Integration of high-precision mechanisms into mechatronics devices. Usage of high-precision devices.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments /

Student’s obligations

Attendance of classes (consultations), work on project assignment as well as preparation and presentation of seminar.

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper 1.5 Experimental work

Written exam Oral exam Essay Research 4

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Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attendance of consultations, project work, seminar.

Assigned reading (at the time of the submission of study programme proposal)

L. L. Howell: Compliant Mechanisms, J. Wiley, New York (NY, USA), 2001. H. Slocum: Precision Machine Design, Soc. Manufacturing Engineers, Dearborn (MI, USA), 1992. S. T. Smith and D. G. Chetwynd: Foundations of Ultraprecision Mechanism Design, Gordon and Breach, 1992.

Optional / additional reading (at the time of proposing study programme)

C. W. de Silva: Mechatronics – An Integrated Approach, CRC Press, Boca Raton (FL, USA), 2005. ***: Springer Handbook of Nanotechnology, Springer Verlag, Berlin (D), 2007.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students L. L. Howell: Compliant Mechanisms 1 2 H. Slocum: Precision Machine Design 1 2 S. T. Smith and D. G. Chetwynd: Foundations of Ultraprecision Mechanism Design

1 2

C. W. de Silva: Mechatronics – An Integrated Approach 1 2 ***: Springer Handbook of Nanotechnology 1 2

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Via the institutionalised quality assurance system of the Faculty of Engineering. Constant interaction and work with the students with the aim of improving the quality of teaching. Flexible adaptation of classes to interests and needs of attending students.

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Basic description

Course coordinator Domagoj Rubeša

Course title Processes of damaging of materials

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Familiarisation with and understanding of processes of damaging of materials under various loading conditions and their integration into constitutive models within the scope of continuum damage mechanics.

Course enrolment requirements

None.

Expected course learning outcomes

After having completed this course the student is able to differentiate main types of damage within materials subjected to various loading conditions, explain the causes and mechanisms of different kinds of damaging, apply the principle of linear accumulation of damage and determine the range of its applicability, explain the non-linear accumulation of damage and the consequent dependence of the amount of damage on the sequence of loading, distinguish between special constitutive models accounting for damage due to plastic yielding, creep, ageing, fatigue or creep-fatigue interaction, explain the connection between damage mechanics and fracture mechanics.

Course content

Definition, phenomenology and kinds of damage; mechanisms of damaging of materials; measurement of damage; damage variables; isotropic and anisotropic damaging; kinetic equation of damage evolution; the principle of linear accumulation of damage; non-linear accumulation of damage and the dependence of damage on the sequence of loading; special models of damage mechanics accounting for damage due to plastic yielding, creep, ageing, fatigue and creep-fatigue interaction; constitutive models of continuum damage mechanics: elasticity, plasticity and visco-plasticity with damage; connection between damage mechanics and fracture mechanics.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments The proportion of teaching methods depends on the number of students and their individual needs and preferences.

Student’s obligations

Completion of various types of assignments: solutions of specific problems, expositions, excerpts or reviews.

Evaluation of student’s work

Course attendance

Activity/Participation Seminar paper 4 Experimental work

Written exam Oral exam 1 Essay Research Project Sustained knowledge 1 Report Practice

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check Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of student’s work and achievements are based on a sustained knowledge check in the course of discussions on general and specific topics which were studied, the quality of student’s assignments and a final check of the reached level of understanding of the elaborated themes.

Assigned reading (at the time of the submission of study programme proposal)

Kachanov, L. M.: Introduction to Continuum Damage Mechanics, Martinus Nijhoff Publishers, Dordrecht, Holland, 1986. Lemaitre, J.: A Course on Damage Mechanics, 2nd ed., Springer, Berlin, 1996. Lemaitre, J., Desmorat, R.: Engineering Damage Mechanics : Ductile, Creep, Fatigue and Brittle Failures, Springer, Berlin, 2005.

Optional / additional reading (at the time of proposing study programme)

Rubeša, D.: Lifetime Prediction and Constitutive Modelling for Creep-Fatigue Interaction, Gebrüder Borntraeger, Berlin/Stuttgart, 1996. Kattan, P. I., Voyiadjis, G. Z.: Damage Mechanics with Finite Elements: Practical Applications with Computer Tools, Springer, Berlin, 2001.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Rubeša, D.: Lifetime Prediction and Constitutive Modelling for Creep-Fatigue Interaction

1 0

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution's quality assurance system.

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Basic description

Course coordinator Mladen Perinić

Course title Processes plans optimization

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Knowing the start points, methods and techniques for optimization of plans processes and production systems. Mathematical modelling and solving a problem by applying appropriate methods and software.

Course enrolment requirements

No prerequisites.

Expected course learning outcomes

Classify the optimization methods, interpreted basic ideas of methods, compare to the advantages, disadvantages and applicability area. Associate professional knowledge and mathematical methods of processes optimization. Analyze the possibilities of using alternative process plans with the aim of optimizing the time of availability of the production system. Investigate and compare the possibilities of solving optimization problems by using genetic algorithm and tabu search techniques. Analyze and compare the possibilities of solving the problem by applying the ready-made software and / or writing one of own program. Investigate the possibility of solving the problem of multicriteria optimization.

Course content

Theoretical basis of processes plans optimization. Identification of variables and process factor selection. Mathematical modeling of process. Operation research. Linear programming. Alternative plans of process and methods of selection optimal combination. Methods of tabu technique search, genetic algorithms, and artificial neural networks for solving problems of processes plans selection. Application of software for optimization of process plans. Optimization of process plans and production systems based on productivity, costs and quality. Multidimensional optimization. Exploitation value of system.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Presence on teaching (consultation), solving of the project and the preparation and presentation of seminars paper.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

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Assessment and evaluation of student’s work during classes and on final exam

Attendance and activity on teaching, projects, seminar.

Assigned reading (at the time of the submission of study programme proposal)

Deb, K.: Multy-Objective Optimization using Evolutionary Algorithms, John Wiley & Sons, New York, 2004. Gen, M., Cheng, R.: Genetic Algorithms and Engineering Design, John Wiley & Sons, New York, 1997. Fandel, G. et al.: Operations Research in Production Planning and Control, Springer Verlag, 1992.

Optional / additional reading (at the time of proposing study programme)

Seo, Y., Egbelu, P. J.: Process Plan selection based on Product mix and Production Volume, International Journal of Research, Vol. 34, No.9 1996. Perinić, M.: Optimizacija ciklusa izrade na FPS-u primjenom genetskih algoritama, disertacija, Tehnički fakultet u Rijeci, 2004. Ljubetć, J.: Optimizacija postupaka pri projektiranju višepredmetnih proizvdnih sustava: disertacija, Tehnički fakultet Rijeka, 1991.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Deb, K.: Multy-Objective Optimization using Evolutionary Algorithms 1 5 Gen, M., Cheng, R.: Genetic Algorithms and Engineering Design 1 5 Fandel, G. et al.: Operations Research in Production Planning and Control

1 5

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution's quality assurance system.

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Basic description

Course coordinator Tonči Mikac

Course title Production planning and control

Study programme Postgraduate doctoral study

Course status compulsory

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15 + 0 + 0

COURSE DESCRIPTION

Course objectives

Qualification for analyzing influential factors of production management. Mastering the principles of production planning and control. Knowledge of software for production management.

Course enrolment requirements

No prerequisites.

Expected course learning outcomes

Classify the basic models of production management. Interpreted basic ideas of integral concept of manufacturing resources planning and the basic foundation for managing the production process. Knowing the theoretical aspects of planning. Analyze the types and content of production plans. Set annual production plan for a specific product range. Analyze operational schedules of manufacturing resources. Compare and choose the method of operational scheduling, launching and monitoring of production process. Optimize the state of manufacturing resources. Analyze the structure of actual costs of production orders. Investigate the possibilities of solving manufacturing problems by applying CAPPC - system planning and production management within the CIM. Compare the approaches of MRP II concept. ERP. Interconnect structure of integrated information systems and databases for automatic information processing. Analyze software features for automatic production management and its application in different production systems.

Course content

Definition of operations and production process. The concept and influent factors of production planning and control. Basic models and logic of production planning and control process. The integral concept of manufacturing resources planning and control. The structure of an integrated information system. Databases for automatic information processing. Theoretical aspects of scheduling. Types and contents of production schedules. Master production schedule. Product lifecycle. Definition and structure of the machining and production cycle. Operative schedules of production resources. Methods of scheduling. Launching and observation of production process. Optimization of resources. The structure of production order costs. Planning calculations. CAPPC – system of production planning and control in frame of CIM. Basic characteristics of MRP II concept. ERP. OPT and KANBAN plan strategies. JIT – just in time production. Characteristics of CAPPC software for automotive production control.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

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Student’s obligations

Attendance and activity on teaching.

Evaluation of student’s work

Course attendance

1 Activity/Participation Seminar paper 3 Experimental work

Written exam Oral exam 2 Essay Research

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Final exam, oral exam. Presentation of seminar paper or published scientific paper.

Assigned reading (at the time of the submission of study programme proposal)

Higgins, P.: Manufacturing Planning and Control: Beyond MRP II, Kluwer Academic Publishers, 1996. Vollmann, T.E.; Berry, W.L.; Whybark, D.C. : Manufacturing planning and control systems.- Irwin, Inc., Chicago, 1999. Sheikh, K.: Manufacturing Resource Planning (MRP II) with Introduction to ERP, SCM, and CRM, McGraw-Hill Professional, Chicago, 2002.

Optional / additional reading (at the time of proposing study programme)

O'Leary, D.E.: Enterprise Resource Planning Systems: Systems, Life Cycle, Electronic Commerce, and Risk, Cambridge University Press, 2000. Žugaj, M.; Strahonja, V.: Informacijski sustavi proizvodnje, Informator, Zagreb, 1992.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students

Vollmann, T.E.; Berry, W.L.; Whybark, D.C. : Manufacturing planning and control systems.- Irwin, Inc., Chicago, 1999

1 5

Sheikh, K.: Manufacturing Resource Planning (MRP II) with Introduction to ERP, SCM, and CRM, McGraw-Hill Professional, Chicago, 2002.

1 5

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

According to Institutional Quality Assurance System.

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Basic description

Course coordinator Sanjin Braut

Course title Protection from noise and vibrations of machines and structures

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Students acquire the advanced knowledge about the source and measure of protection against noise and vibration. Numerical modeling and experimental verification of the effect of isolation. Understanding of the active approach to noise and vibration control

Course enrolment requirements

None

Expected course learning outcomes

Selection of optimal measures / methods of protection against noise and vibration and its application to a practical example of the structure or machine. Analyze the possibilities and limitations of existing software solution for a given problem and perform numerical analysis problems in such software with the aim of proposing optimal intervention to the machine or structure in order to reduce vibration and / or noise. Propose and preferably perform experimental verification of the proposed measures or intervention of construction / machinery in order to reduce vibration and / or noise.

Course content

Fundamentals of noise and vibration. Sources of noise and vibrations in machines and structures (for example: vehicles, house appliance, ventilation, etc.). Generation of airborne and structure-borne sound. Modeling of noise and vibrations of different sources with finite and boudary element method. Measurment of noise and vibrations. Analysis and diagnostics of noise and vibrations. Monitoring and control of noise and vibrations. Harmful effects of noise and vibrations on human being. Regulations for allowed levels of noise and vibrations. Ways and means for protection from noise and vibrations. Calculation of protection from noise and vibrations.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper 2 Experimental work

1.5

Written exam Oral exam Essay Research 2

Project Sustained knowledge check

Report Practice

Portfolio

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Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on their engagement during lecture and the results they achieve in their project and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Genta, G., Vibration of Structures and Machines, Springer, New York, 1999. Fahy, F., Gardonio, P.: Sound and structural vibration, Academic Press, 2007. Thorby, D.: Structural Dynamics and Vibration in Practice, Butterworth-Heinemann, Oxford, 2008. Fahy, F., Walker, J.: Advanced Applications in Acoustics, Noise and Vibration, Spon Press, London, 2004.

Optional / additional reading (at the time of proposing study programme)

Mechanical vibrations and shock, ISO Standard Handbook, Second edition, ISO 1995. Acoustics, ISO Standard Handbook, Second edition, ISO 1995.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Genta, G., Vibration of Structures and Machines, 1 1 Fahy, F., Gardonio, P.: Sound and structural vibration 1 1 Thorby, D.: Structural Dynamics and Vibration in Practice 1 0 Fahy, F., Walker, J.: Advanced Applications in Acoustics, Noise and Vibration

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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Basic description

Course coordinator Goran Kniewald

Course title Protection of marine and coastal environments

Study programme Postgraduate doctoral study

Course status compulsory

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

To introduce the students to the concepts and current issues related to the protection of the marine and coastal environments. Fundamental aspects of marine science – chemistry, physics, biology and geology,

Course enrolment requirements

None

Expected course learning outcomes

Students are expected to obtain a sound understanding of the world ocean and issues related to the Mediterranean and Adriatic regions; of the importance of living resources and their habitats in terms of their biological and economic significance; environmental impact assessment of human activity in the marine environment; fundamental concepts of aquaculture.

Course content

Fundamental concepts of chemical, physical, biological and geological oceanography. Ecology of living resources and habitats in the sea. The ecosystems of the Adriatic sea. Environmental issues related to sensitive coastal environments. Sources and types of pollution in marine and coastal areas. Action plans for pollution accidents in the sea. Integrated coastal zone management. Urbanization of coastal areas. Protection of marine and coastal environments – issues of biodiversity, environmental risk assessment and monitoring strategies. Croatian legislation related to EIA.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper Experimental work

Written exam Oral exam 4.5 Essay Research

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Course attendance, project work, seminars.

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Assigned reading (at the time of the submission of study programme proposal)

Clark, R.B. (2002) Marine pollution, 5th edition, Oxford University Press, Oxford. Garrison, T. (2005) Oceanography, an invitation to marine science, Wadsworth Publishing Company.

Optional / additional reading (at the time of proposing study programme)

Resources on the web and other literature, depending on the scope of the project/seminar (approved by course coordinator)

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Clark, R.B. (2002) Marine pollution, 5th edition, Oxford University Press, Oxford.

5 3

Garrison, T. (2005) Oceanography, an invitation to marine science. Wadsworth Publishing Company, Belmont CA, USA.

5 3

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Quality monitoring is implemented through the quality assessment system of the Faculty of Engineering in Rijeka.

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Basic description

Course coordinator Duško Pavletić

Course title Quality engineering

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

The course objective is to provide students advanced knowledge and skills in quality engineering topics. Through individual projects, students develop skills necessary for practical application of course topics.

Course enrolment requirements

None.

Expected course learning outcomes

Design industrial experiments. Analyse experiment results. Analyse measurement system. Design quality improvement procedure for selected case. Analyse cause and effect relationships. Apply robust design method

Course content

Quality engineering definition. Design of measurements and experiments. Single factor experiments. Multiple factors experiments. Randomisation. Clustering of experiments and measurements. Design and analysis of full and fraction factorial experiments. Measurement system design and analysis. Sampling. Sampling based on the monitoring of attributes properties and variables. Acquisition and processing of data, probability, correlation. Analysis of the variability of results and input-output dependencies. Taguchi methods. Robust process design. Response surface methodology. Simulation modelling and analysis. Tools, methods and models of quality improvement. Defects analysis. Expert systems in quality engineering. Quality information systems.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam 0,5 Essay Research 3

Project Sustained knowledge check

Report 0,5 Practice

Portfolio

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Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their seminar work and on oral exam.

Assigned reading (at the time of the submission of study programme proposal)

Phadke, M. S., Quality Engineering Using Robust Design, Prentice Hall, New Jersey, 1989. Montgomery, D. C., Design and Analysis of Experiments, 4th ed., John Wiley & Sons, New York, 1996.

Optional / additional reading (at the time of proposing study programme)

Breyfogle III, F. W., Implementing Six Sigma: Smarter Solutions Using Statistical Methods, John Wiley & Sons, New York, 1999. Tennant, G., Design For Six Sigma, Gower Publishing, Hampshire, 2002.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Phadke, M. S., Quality Engineering Using Robust Design, Prentice Hall, New Jersey, 1989.

1 2

Montgomery, D. C., Design and Analysis of Experiments, 4th ed., John Wiley & Sons, New York, 1996.

1 2

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

In accordance with established quality assurance system at the Faculty.

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Basic description

Course coordinator Duško Pavletić

Course title Quality management

Study programme Postgraduate doctoral study

Course status compulsory

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

The course objective is to provide students advanced knowledge and skills in quality management topics. Through individual projects, students develop skills necessary for practical application of course topics.

Course enrolment requirements

None.

Expected course learning outcomes

Compare different approaches and concepts of quality management. Analyse quality management systems based on international quality management standards. Develop advanced quality assurance methods. Analyse quality cost structure. Develop suitable approaches to measurement and rating of processes, products of services quality.

Course content

Concepts and methods of quality management. Strategy, approach and concept of quality management system. Approaches to process, product and services quality assurance. Methods of quality planning and quality assurance. International quality management standards. Assessment of quality management system. Process monitoring, analysis and corrective measures. Quality system audit. Quality measurement. Quality assurance in design. Program and methods of quality improvement. Total quality. Classification of quality characteristics. Optimal quality. Quality costs. Pareto principle. Decision-making methods, criteria and models.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam 0,5 Essay Research 3

Project Sustained knowledge check

Report 0,5 Practice

Portfolio

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Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their seminar work and on oral exam.

Assigned reading (at the time of the submission of study programme proposal)

Hoyle, D., ISO 9000 Quality System Handbook, Butterworth – Heinmann, Oxford, 2009. Rao, A., et al., Total Quality Management: A Cross Functional Perspective, John Wiley & Sons, New York, 1996. Juran, J. M., Godfrey, A. B., Juran's Quality Handbook, McGraw-Hill, New York, 1998.

Optional / additional reading (at the time of proposing study programme)

Pyzdek, T., Quality Engineering Handbook, Taylor & Francis, New York, 2003. Yang, K., El-Haik, B. S., Design for Six Sigma, McGraw Hill, New York, 2009. Ishikawa, K., Guide to Quality Control, Quality Resources, New York, 1996. Banks, J., Principles of Quality Control, J. Wiley & Sons, New York, 1989.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Hoyle, D., ISO 9000 Quality System Handbook, Butterworth – Heinmann, Oxford, 2009.

0 4

Rao, A., et al., Total Quality Management: A Cross Functional Perspective, John Wiley & Sons, New York, 1996.

1 4

Juran, J. M., Godfrey, A. B., Juran's Quality Handbook, McGraw-Hill, New York, 1998.

1 4

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

In accordance with established quality assurance system at the Faculty.

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Basic description

Course coordinator Damir Pečornik

Course title Rational energy consumption

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Understanding the optimal production and rational use of energy. The ability to analyze problems of rational use of energy in various manufacturing processes. Knowledge of methods of measurement and experimental confirmation of the results of the operating conditions. The ability to define and account for results of operation.

Course enrolment requirements

There are no conditions

Expected course learning outcomes

To analyze the energy efficiency of various manufacturing processes. To define the possible deviations from the optimal size. To analyze ways to improve efficiency from the viewpoint of energy consumption. To develop techno-economic analysis solutions. To define and explain the conclusions for proposed technical solution.

Course content

Definitions of primary and consumable energy and term of energy efficiency grade. Irreversible and regenerative energy usage and limits in the possible substitution. The definition of renewable energy sources. Electric energy generation and optimization possibilities. Cogeneration of electricity and heat: industrial applications, in communal systems, public buildings, hotel complexes, sports resorts, dormitories and hospitals. Optimization of existing cogeneration plants. Measurement and analysis of consumption, presentation of results; instruments, data processing, an indication of problematic consumers. Optimization with small, medium or large investments. El. energy: peak loads, operation and lighting. Steam and condensate: generation, consumption and utilization. Hot and cold water production, transportation and consumption. Cooling water flow and circulation. Ventilation with air exchange, cooling, heating and regeneration. Compressed air production, distribution and consumption. Technical gases: the production and preparation, distribution, consumption and regeneration. Optimization of thermal and energy systems. The production and use of energy with environmental protection.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Attending classes (consultation), addressing the terms of reference and the preparation and presentation of seminars.

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper 2.5 Experimental work

Written exam Oral exam Essay Research

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Project 3.0 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attendance, class activity, projects, seminars.

Assigned reading (at the time of the submission of study programme proposal)

Prelec, Z.: Energetika u procesnoj industriji, Školska knjiga, Zagreb, 1994. Haywood, R.H.: Analysis of Engineering Cycles, Pergamon Press, Oford, 1987. Von Cube, H.L.: Handbuch der Energiespartechniken, Bd. 1-3, Verlag C.F. Mueller, Karlsruhe, 1983. Bohn, T.: Energie Gasturbinen Kraftwerke, Kombikraftwerke, Heitzkuhlwerke und Industriekraftwerke, Bd. 7, Technische Verlag Resch, 1991

Optional / additional reading (at the time of proposing study programme)

Wilbur, L.C.: Handbook of Energy Systems Engineering, John Wiley & Sons, New York, 1985. Bart, J., Flinger, M.A., Notz, W.I.: Sampling and Statistical Methods for Behavioral Ecologists, Cambridge Univ. Press., 1998.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Prelec, Z.: Energetika u procesnoj industriji, Školska knjiga, Zagreb, 1994.

1 1

Haywood, R.H.: Analysis of Engineering Cycles, Pergamon Press, Oford, 1987.

1 1

Von Cube, H.L.: Handbuch der Energiespartechniken, Bd. 1-3, Verlag C.F. Mueller, Karlsruhe, 1983.

1 1

Bohn, T.: Energie Gasturbinen Kraftwerke, Kombikraftwerke, Heitzkuhlwerke und Industriekraftwerke, Bd. 7, Technische Verlag Resch, 1991.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the established system of quality assurance at the Faculty of Engineering.

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Basic description

Course coordinator Dario Matika

Course title Reliability of technical systems

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Understanding the contents concerning the reliability of technical systems. Developing students’ ability to independently analyze and evaluate the reliability of technical systems.

Course enrolment requirements

None.

Expected course learning outcomes

After passing the exam the student should be able to: Explain the basic concepts of reliability theory Model the reliability of the system with independent components Analyze the reliability of system with dependent components Analyze safety and risk failure of technical system Analyze the reliability and fault tree of complex technical system Apply experimental methods to determinate reliability

Course content

Fundamental concepts of the theory of reliability, the reliability of components, probability density function of failure and failure rate. Modelling the reliability of the system with independent components (serial, parallel and mixed configuration). Mathematical models for calculating the reliability and availability of complex systems. Reliability of system with dependent components. A system with reserve and Markovljev models. System with repairable components. Effectiveness of technical systems and the definition of performance parameters. Reliability analysis and fault tree analysis of complex technical systems. Experimental methods for determining reliability.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Students are required to attend the class, write a seminar and a project and access the oral exam. Seminar and project should be done in consultation with the teacher.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2 Experimental work

Written exam Oral exam 1,5 Essay Research

Project 2 Sustained knowledge check

Report Practice

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Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students’ work will be done on the basis of the result of their seminars, project and oral exam

Assigned reading (at the time of the submission of study programme proposal)

Vujanović, N., Teorija pouzdanosti tehničkih sistema, Beograd, 1987 (Theory of Reliability of Technical Systems) http://www.weibull.com/basics/system_reliability.htm http://blocksim.reliasoft.com/

Optional / additional reading (at the time of proposing study programme)

Kolowrocki Krzysztof, Soszynska-Budny Joanna, Reliability and Safety of Complex Technical Systems and Processes, 2011, XX, 476p 101 illus, ISBN 978-0-85729-693-1 Briolini Alessandro, Reliability Engineering: Theory and Practice, Sixth Edition, 2010,ISBN 978-3-642-14951-1 Pham, Hoang (Ed.), Handbook of Reliability Engineering, 2003, XXXI, 663p, ISBN 978-1-85233-453-6 http://www.journalamme.org/papers_vol43_1/4311.pdf

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Vujanović, N., Teorija pouzdanosti tehničkih sistema, Beograd, 1987 (Theory of Reliability of Technical Systems)

1 3-5

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through to the institution’s quality assurance system.

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Basic description

Course coordinator

Course title Renewable energy sources

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

The deepening of theoretical knowledge and developing skills necessary for solving practical problems of implementation of renewable energy, design and optimization of the system of applications. Developing the skills necessary to perform scientific research in the field of technical sciences.

Course enrolment requirements

There are no conditions

Expected course learning outcomes

Classifying renewable energy sources, comparing them regarding advantages, disadvantages and applicability areas. Interpreting design, construction and operation of certain devices within the system for application of renewable energy sources. Associate professional knowledge and mathematical modeling of individual devices / elements as parts of exploitation systems with renewable energy sources, and to analyse the energy balance of the system. Analyzing the investment and operating costs of the system of exploitation of renewable energy sources. Analyzing the results of modeling, and performing energy and economic optimization of capacity / size of individual devices / elements of the system of exploitation with renewable energy sources.

Course content

Solar radiation on the Earth's surface. The conversion of solar radiation into heat. The conversion of solar radiation into electricity. Elements for the use of solar energy. Material properties: absorption, emission, reflection. Selective surface. Flat-plate solar collectors. Concentric solar panels. Photovoltaic cells. Storing heat. Thermal solar systems. Using solar energy applications: for heating domestic hot water, heating and cooling facilities, for hydrogen production, desalination and distillation. Passive heating systems. Geothermal energy. Elements and exploitation. Biomass; types, sources, components and systems of exploitation. Heat pump systems. Analysis and determination of operating cost modeling. Environmental energy and elements for its use. Municipal and special waste as an energy source. Ecological and energy possibilities in renewable energy applications.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Attending classes (consultation), addressing the terms of reference and the preparation and presentation of seminars.

Evaluation of student’s work

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Course attendance

0.5 Activity/Participation Seminar paper 3.0 Experimental work

Written exam Oral exam Essay Research 2.5

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attendance, class activity, seminars.

Assigned reading (at the time of the submission of study programme proposal)

Schmid, J.: Photovoltaik – Strom aus der Sonne, Hüthig, Heidelberg, 1999. Williams, P.T.: Waste Treatment and Disposal, J. Wiley & Sons Inc., New York, 1998. Pregizer, D.: Grundlagen und Bau eines Passivhauses, Promotor Verlag, Karlsruhe, 2002.

Optional / additional reading (at the time of proposing study programme)

Energy for tommorrow’s world, WEC (World Energy Council), London, 2000. Feist, W.: Das Niedrig-energiehaus, Verlag C.F. Müller, Karlsruhe, 2002.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Schmid, J.: Photovoltaik – Strom aus der Sonne, Hüthig, Heidelberg, 1999.

1 1

Williams, P.T.: Waste Treatment and Disposal, J. Wiley & Sons Inc., New York, 1998.

1 1

Pregizer, D.: Grundlagen und Bau eines Passivhauses, Promotor Verlag, Karlsruhe, 2002.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the established system of quality assurance at the Faculty of Engineering.

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Basic description

Course coordinator Zlatan Car

Course title Robots and manipulators

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Engineering insight into the current status of robotics, trends of development, application and development directions and barriers on this way. Analyze trends in contemporary robotics. Define laws of robotics. The position and importance of robotics in modern philosophy techniques. To analyze the structure of industrial robots. Define the operating mode of robots. To analyze the strategies and algorithms running robot. Define the integration of robots in manufacturing systems. Analyze the application of robots, the current status of and development trends.

Course enrolment requirements

No conditions.

Expected course learning outcomes

In this course, students acquire theoretical and practical knowledge of the issues covered in it, based on the study of specific structures and application of modern robotic systems.

Course content

The foundation of robotics, history, definitions, population, terminology, standardization and norms and laws of robotics. The position and importance of robotics in modern philosophy techniques. Design of industrial robots. Kinematics and dynamics of robots. Formatting (design, construction, simulation and evaluation) robot. Drives robot. Workplace Organisation robot. Operating mode of robots: pose-to-pose, continues path. End effectors and pins robot (lumber, drives, sensors, flexibility, intelligence). Strategies and algorithms for robots. Artificial intelligence in robotics. Human-robot interaction. The interaction of biological and technical systems. Programming and learning robot. Installation of the robot. The integration of robots in manufacturing systems. Robot current state and development trends. Biorobotics. Microrobotics. Biologically inspired ideas and solutions in robotics. Generation of industrial robots. The robots in flexible manufacturing / assembly systems. Robotics as part of the CIM.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Active participation in classes, consultations, seminars.

Evaluation of student’s work

Course attendance 1 Activity/Participation Seminar paper 2 Experimental work

Written exam Oral exam Essay Research 3 Project Sustained knowledge Report Practice

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check Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attendance, activities in classes, projects, seminar.

Assigned reading (at the time of the submission of study programme proposal)

Nikolic, G., Katalinic, B., Rogale, D., Jerbic, B., Cubric, G.: Roboti & Primjena u industriji tekstila i odjece, ISBN 978-953-7105-22-8, Sveucilisni udzbenik, Tekstilno Tehnoloski Fakultet, Sveuciliste u Zagrebu, Zagreb, 2008; 336 pages. Velisek, K., Katalinic, B., Javorova, A.: Priemyselne Roboty a Manipulatory, ISBN 80-227-2490-0, Slovenska Technicka Univerzita v Bratislave, Bratislava, 2005; 183 pages.

Optional / additional reading (at the time of proposing study programme)

Katalinić, B.: Kinematičke strukture modernih industrijskih robota, Proc. 7th International Conference “BIAM” 84”, pp C-35-C-46, Zagreb, June 1994. Selig, J. M.: Introductory Robotics, 1992. Nof, S. Y.: Handbook of Industrial Robotics, 2nd Edition, 1999. Katalinić, B.: Optimization of Robot Structure to Increase Productivity, Annals of the CIRP, Vol. 30/1/1981, pp 413-418, General Assembly, Toronto, August 31 - September 5, 1981. Bishop, R. H.: The Mechatronics Handbook, 2002. Пряничников В. Е.: Алгоритмическое обеспечение дистанционных сенсоров мобильных роботов // Мехатроника, автоматизация, управление (Pryanichnikov V. E. Algorithms for remote sensors on mobile robots // Mechtronics, automation, control), № 10, 2008, с.10-21, ISSN 1684-6427. Andreev V. P., Pryanichnikov V. E., Prysev E. A.: Multi-Access Control of Distributed Mobile Robotic Systems Based on Networking Technologies // Annals of DAAAM for 2010 & Proceedings of the 21st International DAAAM Symposium, Editor B. Katalinic, Published by DAAAM International, Vienna, Austria 2010, pp. 15-16 (публикация включена в Tompsom Reuter). Prianichnikov V., Kirsanov K., Kii K., Levinsky B.: Algorithms and Software for Vision Systems of Mobile Robots // Annals of DAAAM for 2008 & Proceedings of the 19th International DAAAM Symposium “Intelligent Manufacturing & Automation” 22-25 Oct.2008, Trnava, Slovakia, - Vienna: DAAAM Int. Vienna, 2008, Vol.19, No.1, 1587p, pp.1141-1142 (публикация включена в Tompsom Reuter).

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Nikolic, G., Katalinic, B., Rogale, D., Jerbic, B., Cubric, G.: Roboti & Primjena u industriji tekstila i odjece

1 0

Velisek, K., Katalinic, B., Javorova, A.: Priemyselne Roboty a Manipulatory

1 0

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution's quality assurance system.

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Basic description

Course coordinator Dario Matika

Course title Safety of technical systems

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Introduction to the contents concerning the safety of technical systems. Developing students' ability to independently analyze and evaluate the safety of technical systems.

Course enrolment requirements

None.

Expected course learning outcomes

After passing the exam the student should be able to: Explain the relationship of functionality, reliability, availability and security of the technical system. How to apply the standards of safety of technical systems. Analyze the sensitivity of the system to change the parameters. Define the incidence of failure and a failure, and the impact of failures on the job. Explain the procedures for the detection, localization and diagnosis of faults / failures. Analyze risk and safety simpler design of technical systems. Explain the procedures for administering and managing an automated process with failure tolerance.

Course content

Static and dynamic properties of components. Monitoring and control of automated technical systems. The ratio of functionality, reliability, availability and security of the technical system. Resistance, toughness and safety of technical systems. Technical systems safety standards. The sensitivity of the system to change the parameters. Failure appearance and systems. Detection, localization and diagnosis of faults / failures. The impact of failures on the job. Risk analysis and design of technical security systems. Control of automated processes with failure tolerance. Multi-criteria optimization of automated process control.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Students are required to attend the class (consultation), solving the project task, preparation and presentation of seminars and taking the oral exam.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam 0,5 Essay Research 3 Project 2 Sustained knowledge Report 0,5 Practice

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check Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students’ work will be done on the basis of the participation in class, project and oral exam .

Assigned reading (at the time of the submission of study programme proposal)

Blanke, M., et al., Diagnosis and Fault-Tolerant Control, Springer, New York, 2003. Nise, N., Control Systems Engineering, John Wiley & Sons, New York, 2000. Kuljača, Lj., Vukić, Z., Automatsko upravljanje - analiza linearnih sustava, Kigen, Zagreb, 2004.

Optional / additional reading (at the time of proposing study programme)

Roland, H. E., et al., System Safety Engineering and Management, 2nd ed., J. Wiley & Sons, NY, 1990. Bahr, N. J., System Safety Engineering and Risk Assessment: A Practical Approach, Taylor & Francis, New York, 1997.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Blanke, M., et al., Diagnosis and Fault-Tolerant Control, Springer, New York, 2003.

1 1

Nise, N., Control Systems Engineering, John Wiley & Sons, New York, 2000.

1 1

Kuljača, Lj., Vukić, Z., Automatsko upravljanje - analiza linearnih sustava, Kigen, Zagreb, 2004.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through to the institution’s quality assurance system.

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135 

Basic description

Course coordinator Jasna Prpić-Oršić

Course title Seakeeping and maneuverability

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Within the course students acquire the advanced knowledge and skills that are required to carry out seakeeping and maneuvering analysis of ships.

Course enrolment requirements

None.

Expected course learning outcomes

Describe the body – wave interaction. Connect expertise and stochastic approach and identify and describe problems in the field related to seakeeping and maneuverability. Set a mathematical formulation of the vessel equations of motion; analyze the effect of the coefficients variation, complexity and solvability of the problem. Analyze the possible application of certain methods to problems in the field of seakeeping and maneuverability, compare and choose the appropriate method. Investigate the possibility of solving the problem by applying the existing software and / or write his own program. Investigate and analyze the given project assignment related to seakeeping and maneuverability.

Course content

Wave mechanics. Wave theories. Boundary conditions. Sea environment. Wave-structure interaction. Numerical methods. Second order non-linear problems. Ship response on sea waves. Time domain computation. Hydrodynamics of slender body. Longitudinal and transversal motions. Maneuverability. Motion equations of maneuverability. Linear and nonlinear equations system. Motion stability. Criteria.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar

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136 

work.

Assigned reading (at the time of the submission of study programme proposal)

Faltinsen, O. M.: Hydrodynamics of High-speed Vessels, University Press, Cambridge, 2006. Faltinsen, O. M.: Sea Loads on Ships and Offshore Structures, University Press, Cambridge, 1998. Fossen, T. I.: Guidance and Control of Ocean Vehicles, John Wiley & Sons, Chichester, 1994.

Optional / additional reading (at the time of proposing study programme)

Perez, T: Ship Motion Control, Springer-Verlag London Limited 2005. Newman, J. N.: Marine Hydrodynamics; The MIT Press, Massachusetts, 1982.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Faltinsen, O. M.: Hydrodynamics of High-speed Vessels 1 1 Faltinsen, O. M.: Sea Loads on Ships and Offshore Structures, University Press, Cambridge, 1998.

1 1

Fossen, T. I.: Guidance and Control of Ocean Vehicles 0 1 Faltinsen, O. M.: Hydrodynamics of High-speed Vessels 1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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137 

Basic description

Course coordinator Dubravka Siminiati

Course title Selected chapters on fluid power

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Knowledge with complex hydrostatic and pneumatic systems for transmission power and informations. Development of mathematical models for simulation of hydrostatic and pneumatic systems and verification of theoretical results in the laboratory.

Course enrolment requirements

None

Expected course learning outcomes

Analyzing the operation of hydrostatic and pneumatic components and systems. Using modern commercial software for simulation of hydrostatic and pneumatic systems. Appling modern numerical methods in the analysis and optimization. Analyzing and simulation of hydrostatic and pneumatic systems in the laboratory.

Course content

Hydrostatic Transmission: Hydrostatic systems and components. Application of the systems on building and agricultural machinery, ships and machine tools. Automation of the hydrostatic system. Hydrostatic systems and components as a part of measuring and control technology. Analysis and optimization of the hydrostatic components of machinery and equipment. Software development and usage of the commercial software. Experimental studies in the laboratory. Pneumatic Transmissions: Pneumatic systems and components. Application of pneumatic systems. Automation of the pneumatic systems. Pneumatic components in the system of receiving and transmitting measured values and return feedback control. Software development and usage of the commercial software. Experimental studies in the laboratory.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Presence at lectures (consultation), solving the project task and the preparation and presentation of seminars.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2 Experimental work

1,5

Written exam Oral exam Essay Research 2

Project Sustained knowledge check

Report Practice

Portfolio

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138 

Assessment and evaluation of student’s work during classes and on final exam

Attendance of lectures, activity in the classroom, laboratory work, preparation and presentation of a seminar paper

Assigned reading (at the time of the submission of study programme proposal)

FINDEISEN, D., FINDEISEN, F., Ől-Hydraulik, Springer-Verlag, Berlin, 2000. CALLER, B. J., PINCHES, M., Power Pneumatics, Prentice Hall, 1997. PARR, E. A., Industrial Control Handbook, Industrial Press, 1999.

Optional / additional reading (at the time of proposing study programme)

DULAY, I. K., Fundamentals of Hydraulic Power Transmission, North-Holland, 1988. HAUG, R., Pneumatische Steuerungstechnik, Teubner Studienskripten,

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students FINDEISEN, D., FINDEISEN, F., Ől-Hydraulik, Springer-Verlag, Berlin, 2000.

1 0

CALLER, B. J., PINCHES, M., Power Pneumatics, Prentice Hall, 1997. 1 0 PARR, E. A., Industrial Control Handbook, Industrial Press, 1999. 1 0

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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139 

Basic description

Course coordinator Igor Wolf

Course title Selected chapters on heating and air conditioning

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

The development of theoretical knowledge and the skills needed to solve practical problems related to the design, optimization and automatic control and monitoring of heating, ventilation and air conditioning. Developing the skills necessary to perform scientific research in the field of technical sciences.

Course enrolment requirements

There are no conditions

Expected course learning outcomes

To associate professional knowledge and mathematical modeling of thermal systems operation in heating, ventilation and air conditioning. To develop an energy balance of heating and cooling systems regarding to the actual climate and meteorological data from the reference year. To calculate the investment and operating costs of heating, ventilation and air conditioning systems. To optimize capacity / size of individual devices / elements of heating and cooling systems. To define and perform the selection of elements of central control and monitoring systems, with special emphasis on intelligent buildings.

Course content

Methodology for performing energy balance of HVAC systems by modeling. Defining the reference year for meteorological data. Determination and analysis of investment and operating costs. Optimization of HVAC systems. Central monitoring and control systems in HVAC plants. Connection with information technology systems - intelligent buildings. Latent heat storage devices. Ecological and energetic aspects of new refrigerant fluids.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Attending classes (consultation), preparation and oral presentation of seminars.

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper 3.0 Experimental work

Written exam Oral exam Essay Research 2.5

Project Sustained knowledge check

Report Practice

Portfolio

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140 

Assessment and evaluation of student’s work during classes and on final exam

Attendance, class activity, seminars.

Assigned reading (at the time of the submission of study programme proposal)

Awbi, H.B.: Ventilation of Buildings, Spon Press, Taylor and Francis Group, London, 2003. Jones, W.P.: Air Conditioning Engineering, Elsevier, 2001. Kreider, J.F.: Handbook of Heating, Ventilation and Air Conditioning, CRC Press, 2001. Oughton, D.R., Hodkinson S.: Heating and Air Conditioning of Buildings, Elsevier, 2002.

Optional / additional reading (at the time of proposing study programme)

ASHRAE Handbook (SI), 2005. Baturin, V. V.: Fundamentals of Industrial Ventilation, Pergamon Press Ltd, Oxford, 1972. Fanger, P. O.: Thermal Comfort Analysis and Applications in Environmental Engineering, McGraw-Hill Book Company, New York, 1972. Rajaratnam, N.: Turbulent Jets, Elsevier Scientific Publishing Company, Amsterdam, Netherland, 1976.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Awbi, H.B.: Ventilation of Buildings, Spon Press, Taylor and Francis Group, London, 2003.

1 1

Jones, W.P.: Air conditioning engineering, Elsevier, 2001. 1 1 Kreider, J.F.: Handbook of heating, ventilation and air conditioning, CRC Press, 2001.

1 1

Oughton, D.R., Hodkinson S.: Heating and air conditioning of buildings, Elsevier, 2002.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the established system of quality assurance at the Faculty of Engineering.

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141 

Basic description

Course coordinator Elso Kuljanić, Goran Cukor

Course title Selected chapters on conventional machining processes

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Acquisition of actual and developing the new scientific knowledge in the subject area. Application of acquainted knowledge on real machining process examples with emphasis on their optimization and minimization of expenses to achieve competition of machining technologies. Ability to implement the methods of modeling and optimization of machining process.

Course enrolment requirements

None.

Expected course learning outcomes

Identify and describe the highly productive operations of conventional machining processes and their application. Analyze the economic aspects of the machining processes, assess the influential factors and set the appropriate mathematical formulation of the optimization of production efficiency. Apply basic methods of modeling of machining processes. Investigate the possibility of setting (choice and calculation) technological parameters using the ready-made software and/or write original program – compare approaches.

Course content

State of art and trends in turning, milling, sawing, broaching, grinding, super-finishing techniques, and machining of gears. Turn-milling. High speed machining. "Dry" machining and machining with minimal use of coolant and lubricant. Machining of hard materials. Micro-machining. The uses of tool wear and tool breakage sensors. Modeling and simulation of machining process. Estimation of manufacturing cost and optimization of cutting parameters. Computer aided process planning (CAPP).

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation 0,25 Seminar paper 1,5 Experimental work

Written exam Oral exam Essay Research 3,75

Project Sustained knowledge check

Report Practice

Portfolio

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142 

Assessment and evaluation of student’s work during classes and on final exam

Attendance and activity on teaching, seminar paper presentation or published scientific paper.

Assigned reading (at the time of the submission of study programme proposal)

Cukor, G.: Obrada metala rezanjem, Tehnički fakultet Sveučilišta u Rijeci, 2014. Shaw, M. C.: Metal Cutting Principles, 2nd edition, Oxford University Press, 2004.

Optional / additional reading (at the time of proposing study programme)

Dudzinski, D. (Ed.), Molinari, A. (Ed.), Schulz, H. (Ed.): Metal Cutting and High Speed Machining, Kluwer Academic Pub, 2002. Myers, R. H., Montgomery, D. C.: Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 2nd edition, Wiley-Interscience, 2002.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Cukor, G.: Obrada metala rezanjem 1 1 Shaw, M. C.: Metal Cutting Principles 1 1 Dudzinski, D. (Ed.), Molinari, A. (Ed.), Schulz, H. (Ed.): Metal Cutting and High Speed Machining

1 1

Myers, R. H., Montgomery, D. C.: Response Surface Methodology: Process and Product Optimization Using Designed Experiments

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution's quality assurance system.

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143 

Basic description

Course coordinator Julijan Dobrinić

Course title Selected chapters on environment protection

Study programme Postgraduate doctoral study

Course status compulsory

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Disseminate information about the importance of environmental protection in technical and other activities. To inform about the situation in the area, as well as about the legislative system. Therefore, ensure a higher level of knowledge about the importance of sustainable development and the rational use of energy and the exploitation of natural resources.

Course enrolment requirements

None.

Expected course learning outcomes

Describe the fundamentals of ecology, and environmental protection. Distinguish between types of environmental pollutants using different technologies. Analyse the current situation as regards environmental protection in the world and in Croatia. Describe the modes of arrangements in this activity. Explore the possibilities for decreasing the environmental pollution. Describe the monitoring techniques.

Course content

Introduction: environment, environmental system, distinguish factors. Environmental pollution: sources of pollution. Pollution of air, soil, water and sea. Influence of different technologies on environment: chemical technology, energy engineering, marine technology. Interaction between environment and marine technology structures: corrosion, biological influence, protection. Monitoring: measuring methods, sampling, limits. International conventions, law and regulation in the Republic of Croatia. Environmental protection: subjects, factors. Ecological engineering.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1 Experimental work

Written exam Oral exam Essay Research 3

Project 1,5 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work be based on the results their achieve in their project and the seminar

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work.

Assigned reading (at the time of the submission of study programme proposal)

Prelec Z: Energetika u procesnoj industriji, Školska knjiga, Zagreb, 1994. Richter L. A., Volkov E. P., Pokrovski V. N.: Thermal Power Plants and Environmental Control, Mir Publishers, Moskva, 1984. Theodore L., Buonicore J.A.: Energy and Environment Interactions, CRS Press Inc., Boca Raton, 1980.

Optional / additional reading (at the time of proposing study programme)

Pandey G. N., Carney G. C.: Environmental engineering, Tata McGraw-Hill Publiching Company Limited, New Delhi, 1989. Nicoll E. H.: Small Water Pollution Control Works- Design and Practice, Ellis Horwood Limited, John Wiley&Sons, New-York, 1988.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Prelec Z: Energetika u procesnoj industriji, Školska knjiga, Zagreb, 1994. 4 4 Richter L. A., Volkov E. P., Pokrovski V. N.: Thermal Power Plants and

Environmental Control, Mir Publishers, Moskva, 1984. 1 4

Theodore L., Buonicore J.A.: Energy and Environment Interactions, CRS Press Inc., Boca Raton, 1980.

1 4

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution's quality assurance system.

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Basic description

Course coordinator Tonči Mikac

Course title Selected chapters on flexible manufacturing systems

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching

ECTS student ‘s workload coefficient 6

Number of hours (L+E+S) 15+0+0 COURSE DESCRIPTION

Course objectives

Realize theoretical and practical knowledge in the development and implementation of flexible manufacturing systems and features of the applicable software.

Course enrolment requirements

No prerequisites.

Expected course learning outcomes

Course provides a theoretical and practical background of FMS development and application as well as the knowledge of adequate software application.

Course content

CIM – computer integrated manufacturing. Production integration and automation. Flexible manufacturing systems (FMS) – definition. Evolution and development of FMS. Degrees of system's flexibility. FMS productivity. Correlation between flexibility and productivity. Equipment. Types of FMS. Correlation between production program, production system and transport system. Configuration of FMS. Possible layouts of FMS. Full and partially automotive flexible manufacturing systems. Concepts. Optimization methods for FMS choice. Simulation of FMS work. Advantage and weakness of FMS in comparison with conventional manufacturing systems. Area of FMS application. Simulation software.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Presence on teaching (consultation), solving of the project and the preparation and presentation of seminars paper.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

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Assessment and evaluation of student’s work during classes and on final exam

Attendance and activity on teaching, projects, seminar.

Assigned reading (at the time of the submission of study programme proposal)

Parrish, D. J.: Flexible Manufacturing, Butterworth-Heinemann, 1993. Raouf, A., Ben-Daya, M.: Flexible Manufacturing Systems: Recent Developments, Elsevier Health Sciences, 1995. Ranky, P. G.: An Introduction to Flexible Automation, Manufacturing and Assembly Cells and Systems in CIM - Methods, Tools and Case Studies, CIMware USA, Inc., 1997.

Optional / additional reading (at the time of proposing study programme)

Lee, A.: Knowledge-Based Flexible Manufacturing Systems (Garland Studies on Industrial Productivity), Garland Pub, 1994. Shaw, M.: Information-Based Manufacturing: Technology, Strategy, and Industrial Applications, Kluwer Academic Publishers, 2001.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution's quality assurance system.

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Basic description

Course coordinator Anica Trp

Course title Selected chapters on heat exchangers

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Enhancing the theoretical knowledge and training of skills for solving practical problems in field of heat exchangers as parts of thermal and energy systems, as well as training of skills necessary for performing of scientific-research work in field of technical sciences.

Course enrolment requirements

None.

Expected course learning outcomes

Classify the types of heat exchangers, interpret their differences and fundamental characteristics. Associate professional knowledge and apply the relevant physical laws on the formulation of the specific problems of heat transfer within the heat exchanger. Set and describe the mathematical formulation to solve the problem of heat exchange in the heat exchanger. Analyze and characterize the assumptions and simplifications adopted in the selected mathematical model. Evaluate and analyze their possible impact on the accuracy of the results as well as on the calculation time required. Investigate the possibility of solving the problem using analytical and numerical approach and select and implement the appropriate method. Perform the numerical calculation using a self written computer program or using a commercial computer program for numerical simulations of heat transfer within the heat exchanger. Analyze the results and perform specific conclusions and explanations based on the linking of expertise and the results obtained. Present research results in the form of research works.

Course content

Heat exchangers. Recuperators, regenerators and direct heat exchangers. Heat and mass transfer. Heat conduction. Forced convection. Pipe fluid flow. Cylinders and pipe bundles in cross-flow. Natural convection. Heat transfer through fins. Heat transfer in phase change processes. Parallel-flow, counter-flow and cross-flow heat exchangers. Shell-and-tube and plate heat exchangers. Design and thermal analysis. Temperature distribution and heat exchange. Reversal and rotary regenerators. Dry and wet regenerator’s theory. Methods for thermal analysis. Temperature distribution and heat exchange. Water cooling by evaporation. Heat storages. Sensible heat storages. Latent heat storages. Temperature distribution and heat exchange.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course 0.5 Activity/Participation Seminar paper 1 Experimental

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attendance work Written exam Oral exam Essay Research 2.5

Project 2 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Lectures (consultations) attendance and activity, projects and seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Smith, E.M.: Thermal Design of Heat Exchangers, John Wiley & Sons Inc., New York, 1997. Hausen,H.: Heat Transfer in Counterflow, Parallel Flow and Cross Flow,McGraw-Hill Book Co, NY, 1983. Dincer,I.,Rosen,M.A.: Thermal Energy Storage: Systems and Application, J.Wiley&SonsInc.,NY, 2002.

Optional / additional reading (at the time of proposing study programme)

Kays, W.M.; London, A.L.: Compact Heat Exchangers, McGraw-Hill Book Co., New York, 1984. Schmidt,F.W.,Willmott,A.J.: Thermal Energy Storage and Regeneration, McGraw-HillBookCo, NY, 1981.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Smith, E.M.: Thermal Design of Heat Exchangers, John Wiley & Sons Inc., New York, 1997.

1 1

Hausen,H.: Heat Transfer in Counterflow, Parallel Flow and Cross Flow,McGraw-Hill Book Co, NY, 1983.

1 1

Dincer,I.,Rosen,M.A.: Thermal Energy Storage: Systems and Application, J.Wiley&SonsInc.,NY, 2002.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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Basic description

Course coordinator Vladimir Medica

Course title Selected chapters on internal combustion engines

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Adoption of theoretical and experimental knowledge and skills in scientific research in the field of internal combustion engines and their applications.

Course enrolment requirements

There are no conditions

Expected course learning outcomes

Classify level of models for the numerical simulation of internal combustion engine to interpret the fundamental ideas of models, comparing their advantages, disadvantages and applications area. Associate expert knowledge and numerical simulation models to be able to identify and select appropriate models for analyzing problems in the profession. Set up a mathematical model formulation for the numerical simulation, choosing the most suitable methods of integration and models for processes in the engine. To analyze the possible application of some models in the definition and analysis of engine project proposals or analysis of existing engines. To investigate the influence of certain parameters or performance of the engine and its systems in steady operation or in transient conditions. Analyze opportunities and areas of optimal operation of individual engine parts or systems or the engine as a whole or as component of larger systems.

Course content

Introduction to the mathematical modeling of the engine processes and systems. Modern methods of numerical modeling in internal combustion engines. Numerical modeling of steady state and transient operation of the engine system. Basic concepts of modern engine design. The impact to the engine performance characteristics. Adaptation and conformity of the engine to the environmental protection requirements and sustainability. Engine operation in steady and transient conditions. Engine adaptation for optimal control. Engine process, control and protection. Special conditions of operation. Specific problems of diesel engines for ship propulsion. Diesel engine as part of the ships powerplant. Engine in the cogeneration systems.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Attending classes (consultation), addressing the terms of reference and the preparation and presentation of seminars.

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper 1.5 Experimental work

Written exam Oral exam Essay Research Project 4.0 Sustained knowledge Report Practice

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check Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attendance, class participation, projects, seminar.

Assigned reading (at the time of the submission of study programme proposal)

Heywood, J.B.: Internal Combustion Engine Fundamentals, McGraw Hill Book Co., New York, 1988. Ramos, J. I.: Internal Combustion Engine Modelling, Hemisphere Publishing Corp., New York, 1989. Stiesch, G.: Modeling Engine Spray and Combustion Processes, Springer, Berlin, 2003.

Optional / additional reading (at the time of proposing study programme)

Winterbone D., Pearson R.: Wave Action Methods for IC Engines, Vol. 1 Design Techniques for Engine Manifolds, Vol. 2 Theory of Engine Manifold Design, Professional Engineering Publishing Ltd., London, 1999. Rakopoulos C.D., Giakoumis E.G.: Diesel Engine Transient Operation, Principles of Operation and Simulation Analysis, Springer, Berlin, 2009.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Heywood, J.B.: Internal Combustion Engine Fundamentals, McGraw Hill Book Co., New York, 1988.

1 1

Ramos, J. I.: Internal Combustion Engine Modelling, Hemisphere Publishing Corp., New York, 1989.

1 1

Stiesch, G.: Modeling Engine Spray and Combustion Processes, Springer, Berlin, 2003.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the established system of quality assurance at the Faculty of Engineering.

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Basic description

Course coordinator Marina Franulović

Course title Selected chapters on machine elements design

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Numerical and analitical calculation of carrying capacity and durability of machine elements and structural components, optimisation of their design with application of appropriate methods and software solutions

Course enrolment requirements

None

Expected course learning outcomes

Analyse problems that occur during machine elements application and compare elements according to their advantages, disadvantages and applicability. Use modern numerical methods for carrying capacity and durability calculations of machine elements. Use modern numerical methods for machine elements design optimization. Explore problem solving possibilities by application of commercial software solutions and/or development of own software solution. Analyse calculation results.

Course content

Machine elements and components design: housings, shafts, assembling and non-assembling joints, preloaded bolted joint, flanges, joints of shaft with heads, lockers, toothed joints, joints with insertions and polygonal shafts, special types of springs, friction clutches and breaks, synchronization clutches, safety clutches for machines, one direction clutches and breaks, special transmissions with elastic elements, transmissions with chains, transmissions with belts, bearings, gearings. Static and dynamic loading capacity of referred machine elements and components. Application of numerical methods in research of their loading capacity and durability. Optimization of their design. Geometrical characteristics of elements. Numerical structural analysis of elements. Material fatigue of elements. Stress concentration.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 3 Experimental work

Written exam Oral exam Essay Research 2,5

Project Sustained knowledge check

Report Practice

Portfolio

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152 

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work

Assigned reading (at the time of the submission of study programme proposal)

Norton, R.: Machine Design – An Integrated Approach, Prentice Hall, 2006. Shigley, J. Mischke, C., Brown, T.H.: Standard Handbook of Machine Design, Mc Graw-Hill, 2004. Muhs, D., Wittel, H., Jannasch, D., Voβiek, J.: Roloff /Matek Maschinenelemente – Normung, Berechnung, Gestaltung, Viewegs Fachbücher der Technik, 2007.

Optional / additional reading (at the time of proposing study programme)

Lingaiah, K.: Machine Design Databook, Mc Graw-Hill, 2004. Dowling, N.E., Mechanical Behavior of Materials, Prentice-Hall International Inc., 1993.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Machine Design – An Integrated Approach 1 0 Standard Handbook of Machine Design 1 0 Roloff /Matek Maschinenelemente – Normung, Berechnung, Gestaltung 1 0

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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Basic description

Course coordinator Jasna Prpić-Oršić

Course title Selected chapters on marine dynamics

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Within the course students acquire the advanced knowledge and skills that are required to carry out dynamic analysis of marine objects.

Course enrolment requirements

None.

Expected course learning outcomes

Describe the body – wave interaction. Connect expertise and stochastic approach and identify and describe problems in the field related to marine dynamics. Set a mathematical formulation of the vessel dynamics; analyze the effect of the coefficients variation, complexity and solvability of the problem. Analyze the possible application of certain methods to problems in the field of marine dynamics, compare and choose the appropriate method. Investigate the possibility of solving the problem by applying the existing software and / or write own program. Investigate and analyze the given project assignment related to marine dynamics.

Course content

Design sea state. Short-term and long-term prediction. All sea state and design sea state approach. Return period and encounter probability. Wave data sources. Statistics of currents and wind. Wave forces on small structures. Wave forces on large structures. Structure response statistics. Nonlinear dynamics of marine vehicles. Time domain motion analysis.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

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Assigned reading (at the time of the submission of study programme proposal)

Faltinsen, O. M.: Sea Loads on Ships and Offshore Structures, University Press, Cambridge, 1998. Goda, Y.: Random Seas and Design of Maritime Structures, World Scientific, London 2000. Wilson, J. F. Dynamics of Offshore Structures, John Wiley & Sons, New Jersey, 2003.

Optional / additional reading (at the time of proposing study programme)

Sarkapaya T., Isaacson M.: Mechanics of Wave Forces on Offshore Structures, Van Nostrand Reinhold Co., Melbourne, 1981. Jensen, J. J.: Load and Global Response of Ships, Elsevier Ocean Eng. Book Series, Oxford, 2001.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Faltinsen, O. M.: Sea Loads on Ships and Offshore Structures, University Press, Cambridge, 1998.

1 1

Goda, Y.: Random Seas and Design of Maritime Structures, World Scientific, London 2000.

1 1

Wilson, J. F. Dynamics of Offshore Structures, John Wiley & Sons, New Jersey, 2003.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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Basic description

Course coordinator Tomislav Mrakovčić, Špiro Milošević

Course title Selected chapters on marine energy systems

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Within the course students acquire the advanced knowledge and skills that are required to find optimal technical solution for given conditions during exploitation of marine energy system.

Course enrolment requirements

None.

Expected course learning outcomes

Classify types of marine energy systems, compare according to advantages, disadvantages and field of applicability. Connect practical and theoretical knowledge and identify and describe problems in design and exploitation of marine energy systems. Setup of mathematical formulation of heat and mass transfer for analyzed part of marine energy system. Analyze possibilities of application of numerical methods on applicable example, compare and select numerical method. Investigate possibilities of problem solving by commercial software and/or by own program code. Compare approaches. Analyze obtained results and evaluate their accuracy and applicability on specific example of marine energy system.

Course content

Analysis of ship demand for different kinds of energy. Statistical analysis of machinery system loads during ship exploitation. Choice of energy source size and other characteristics in marine machinery system. Ship energy sources. Choice of kind and capacity of energy sources. Energy balances (electric energy, steam, compressed air, water, fuel, gas). Energy analysis of system. Control and management of marine propulsion plants. Equipment and installation of marine energy systems. Marine energy systems.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3 Project Sustained knowledge Report Practice

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check Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Clark G.H.: Industrial and Marine Fuels, Butterworths, London, 1988. Roy, L. Harrington: Marine Engineering, The Society of Naval Architects and Marine Engineers, New Jersey, 1992.

Optional / additional reading (at the time of proposing study programme)

Prelec Z.: Energetika u procesnoj industriji, Školska knjiga, Zagreb, 1994. McGeorge H.D.: Marine Auxiliary Machinery, 7th Edition, Butterworth Heinemann, Oxford, 2002. Rawson K.J., Tupper E.C.: Basic Ship Theory, 5th Edition, Vol. 2 Ship Dynamics and Design, Butterworth Heinemann, Oxford, 2001.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Clark G.H.: Industrial and Marine Fuels, Butterworths, London, 1988. 1 1 Roy, L. Harrington: Marine Engineering, The Society of Naval Architects and Marine Engineers, New Jersey, 1992.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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Basic description

Course coordinator Tomislav Mrakovčić

Course title Selected chapters on marine machinery systems

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Within the course students acquire the advanced knowledge and skills that are required to find optimal technical solution for given conditions during exploitation of marine machinery system.

Course enrolment requirements

None.

Expected course learning outcomes

Classify types of marine machinery systems, compare according to advantages, disadvantages and field of applicability. Connect practical and theoretical knowledge and identify and describe problems in design and exploitation of marine machinery systems. Analyze possibilities of application of numerical methods on applicable example, compare and select method. Investigate possibilities of problem solving by commercial software and/or by own program code. Compare approaches. Analyze obtained results and evaluate their accuracy and applicability on specific example of marine machinery system.

Course content

Basis in design of marine machinery systems. Concept of marine machinery system. Characteristics of marine machinery systems functioning. Analysis and selection of machinery and equipment. Complex marine machinery systems with combined propulsion plants. Energy analysis of marine machinery system. Analysis and optimization of marine machinery system expences. Analysis of different energy transmission systems for marine propulsion. Remote transmissions (mechanical, hydraulic, pneumatic, electric). Numerical modeling of marine machinery systems. Selected chapters on automation of marine machinery systems.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

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158 

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Gallin, Hiersig, Heidrich: Ship and their propulson sistem, Lohmann, 1989. Roy, L. Harrington: Marine Engineering, The Society of Naval Architects and Marine Engineers, New Jersey, 1992.

Optional / additional reading (at the time of proposing study programme)

Smith, D. W.: Marine Auxiliary Machinery, Butterworths, London, 1988.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Gallin, Hiersig, Heidrich: Ship and their propulson sistem, Lohmann, 1989.

1 1

Roy, L. Harrington: Marine Engineering, The Society of Naval Architects and Marine Engineers, New Jersey, 1992.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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159 

Basic description

Course coordinator Božo Smoljan, Leszek Adam Dobrzański

Course title Selected chapters on materials testing

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Gaining knowledge of theory, practice and issues of material testing and meet with methods of simulation of material behaviour in the application.

Course enrolment requirements

There are no requirements.

Expected course learning outcomes

Analyse a basic properties of engineering materials. Describe and explain different methods of mechanical testing of materials. Analyse a possibility of using certain methods of mechanical testing of materials. Analyse a result of mechanical testing of materials. Describe and explain methods of nondestructive testing of materials. Analyse a possibility of using ultrasonic, magnetic and radiation test methods. Analyse a result of non-destructive testing. Analyse criteria for selecting a method of material testing.

Course content

Destructive testing. Methods of fracture resistance testing. Measurement of material damage. Thermal methods of materials testing. Fatigue testing of materials. Tribological testing of material. Material properties. The application of elastic waves in material testing. Non-destructive testing. Electrical and magnetic methods of material testing. Ultrasonic testing of materials. The application of electromagnetic fields in material testing. Acoustic emission. Testing of the surface. Microscopy. Peculiarly of specific materials - alloys, polymers, ceramics, composites. Simulation of material behaviour in the application.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Course attendance (consultation), working out the project tasks and preparation and presentation of seminars

Evaluation of student’s work

Course attendance

1 Activity/Participation Seminar paper 0,5 Experimental work

Written exam 1 Oral exam 1 Essay Research 2

Project 0,5 Sustained knowledge check

Report Practice

Portfolio

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160 

Assessment and evaluation of student’s work during classes and on final exam

Written and oral examination.

Assigned reading (at the time of the submission of study programme proposal)

ASM Handbook Volume 8, Mechanical Testing and Evaluation, ASM International ASM Handbook Volume 9, Metallography and Microstructures, ASM International ASM Handbook Volume 10, Materials Characterization, ASM International

Optional / additional reading (at the time of proposing study programme)

Becker, E., Michalzik, G., Morgner, W.: Praktikum Werkstofoffpruefung, VEB Deutscher Verlag fuer Grundstoffindustrie, Leipzig, 1997. Duggant, T. V., Byrne, J.: Fatigue as a Design Criterion, Macmillan Press, London, 1977.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students ASM Handbook Volume 8, Mechanical Testing and Evaluation, ASM International

1 2

ASM Handbook Volume 9, Metallography and Microstructures, ASM International

1 2

ASM Handbook Volume 10, Materials Characterization, ASM International

1 2

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution's quality assurance system.

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161 

Basic description

Course coordinator Goran Cukor

Course title Selected chapters on non-conventional machining processes

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Acquisition of actual and developing the new scientific knowledge in the subject area. Application of acquainted knowledge on real machining processes examples. Ability to implement the methods of modeling and optimization of the non-conventional manufacturing processes.

Course enrolment requirements

None.

Expected course learning outcomes

Identify and describe the non-conventional machining processes and their application. Interpret the physical fundamentals of non-conventional machining processes. Apply basic calculations of the most important technological parameters. Assess the strengths and limitations of non-conventional machining processes compared with conventional ones and to each other. Apply basic methods of modeling and optimization of non-conventional machining processes.

Course content

Theory and working principles of non-conventional technologies: ultrasonic, abrasive jet, water jet, abrasive water jet, laser beam, plasma beam, electron beam, ion beam, chemical, electrochemical and electro discharge machining. Achievements, using areas, comparison and replacement for conventional machining processes. Needed demands for introducing the non-conventional technologies, advantages and shortcomings. Trends of development: hybrid machining processes, micro and nano machining. Rapid prototyping and manufacturing. Reverse engineering. Modeling and optimization.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation 0,25 Seminar paper 1,5 Experimental work

Written exam Oral exam Essay Research 3,75

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

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Attendance and activity on teaching, seminar paper presentation or published scientific paper.

Assigned reading (at the time of the submission of study programme proposal)

Cukor, G.: Nekonvencionalni postupci obrade odvajanjem čestica, Tehnički fakultet Sveučilišta u Rijeci, 2014. El-Hofy, H.: Advanced Machining Processes: Nontraditional and Hybrid Machining Processes, McGraw-Hill, 2005.

Optional / additional reading (at the time of proposing study programme)

Madou, M. J.: Fundamentals of Microfabrication: The Science of Miniaturization, 2nd edition, CRC Press, 2002.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Cukor, G.: Nekonvencionalni postupci obrade odvajanjem čestica 1 1 El-Hofy, H.: Advanced Machining Processes: Nontraditional and Hybrid Machining Processes

1 1

Madou, M. J.: Fundamentals of Microfabrication: The Science of Miniaturization

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution's quality assurance system.

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Basic description

Course coordinator Gordana Marunić, Robert Basan

Course title Selected chapters on power transmissions

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

The development of scientific approach to mechanical power transmissions issues.

Course enrolment requirements

None.

Expected course learning outcomes

Explain and interpret the tendencies of power transmissions development. Create and analyse the corresponding mathematical and numerical transmission model. Compare, justify and verify the choice of certain method for the calculation of transmission load capacity and durability.

Course content

Standard/nonstandard and numerical methods for the load capacity and durability calculation of power transmission and its components. The determination of durability based on the stress, deformation and fracture mechanics principles. The crack initiation criteria and numerical simulation of the crack growth. Involute gear state of stress: 3D approach, the influence of complex gear body (rim, web). The comparison with 2D approach and analytical method for the calculation of gear strength according to standard ISO.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the achievement.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

The attendance and activity during classes/consultations, the achieved research results.

Assigned reading (at the time of the submission of study programme proposal)

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Aberšek, B.; Flašker, J.: How gears break. Southampton, Boston : Witpress, 2004. ISO 6336, Calculation of Load Capacity of Spur and Helical Gears, 2006. Johnson, K.L.: Contact mechanics. Cambridge : Cambridge University Press, 1985.

Optional / additional reading (at the time of proposing study programme)

ASM Handbook, Volume 19, Fatigue and Fracture, ASM International Dowling N.E.: Mechanical behavior of materials. New Jersey : Prentice Hall International, 1993.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Aberšek, B.; Flašker, J.: How gears break. Southampton, Boston : Witpress, 2004.

1 1

ISO 6336, Calculation of Load Capacity of Spur and Helical Gears, 2006.

1 1

Johnson, K.L.: Contact mechanics. Cambridge : Cambridge University Press, 1985

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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165 

Basic description

Course coordinator Branimir Pavković

Course title Selected chapters on refrigeration and low-temperature refrigeration

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Capability for analysis and synthesis. Problem solving. Enhancement and widening of theoretical and practical knowledge basis in the field of refrigeration and developing of knowledge and skills necessary for solving the problems of optimization of refrigeration systems. Developing of specific skills necessary for scientific research in refrigeration.

Course enrolment requirements

None

Expected course learning outcomes

Classification and comparison of compression, absorption and alternative refrigeration processes according to their advantages, disadvantages and applicability. Description and classification of primary and secondary refrigerants, comparison of different applications and environmental influences of refrigerants, explanation of equations and correlations for determination of refrigerant properties. Description of construction and thermal insulation of refrigerated storages, explanation of dynamic processes of heat transfer. Description of construction and explanation of application of heat exchangers, compressors, control devices and entire systems of mechanical refrigeration. Distinguishing, explanation and analysis of different numerical simulation models of refrigeration systems and their components. Modelling and simulation of refrigerated storage energy consumption. Creation of simple models for simulation of refrigeration system. Classification and comparison of different control systems for refrigeration. Description of refrigeration applications in food industry, air - conditioning and process industry. Linking professional knowledge and mathematical optimization methods with recognition and description of optimization problems in refrigeration. Classification of refrigeration processes and systems for achieving low and extremely low temperatures, comparison by advantages, disadvantages and application fields.

Course content

Compression refrigeration cycles. Primary refrigerants and secondary coolants. Equations and correlations for refrigerant properties evaluation. Heat exchangers in refrigeration. Analysis of fluid flow and heat transfer: single- and two - phase flow. Refrigeration compressors. Sorption refrigeration. Alternative refrigeration cycles. Thermal insulation and vapour diffusion for cold stores. Dynamics of thermal processes in a cold store. Applications of refrigeration in food production, air-conditioning and process industry. Control of refrigeration systems. Numerical models of compression refrigeration machines and their components: compressors, evaporators, condensers and control valves. Optimization problems in refrigeration. Low- and extremely low – temperature processes. Low temperature applications for gas liquefaction, separation of mixtures, cryogenic applications, cooling of electronic equipment and biomedical applications of cryogenic refrigeration.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

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166 

Attendance to lectures (consultation), research project , preparation and presentation of seminar paper

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research

Project 3 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Tuition is performed through consultations about making of project and seminar work. Knowledge checking is performed through the presentation of project and seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Von Cube, H. L. et al.: Lehrbuch der Kältetechnik, 4 Aufl., Bd. 1-2, C.F.Müller Verlag, Heidelberg 1997. Granryd, E. et al.: Refrigerating Engineering, Part 1 -2, Dept. of Energy Technology, Royal Institute of Technology, KTH, Stockholm 2003. Herold, K.E., Rademacher, R., Klein, S.A.: Absorption Chillers and Heat Pumps, CRC Press, Boca Raton, 1996.

Optional / additional reading (at the time of proposing study programme)

ASHRAE, The 4 -Volume ASHRAE Handbook, Atlanta, ASHRAE, Atlanta, 2008 - 2011. Stoecker, W. F.: Industrial Refrigeration Handbook, Mc Graw Hill, New York, 1998.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Von Cube, H. L. et al.: Lehrbuch der Kältetechnik, 4 Aufl., Bd. 1-2, C.F.Müller Verlag, Heidelberg 1997.

1 1

Granryd, E. et al.: Refrigerating Engineering, Part 1 -2, Dept. of Energy Technology, Royal Institute of Technology, KTH, Stockholm 2003.

1 1

Herold, K.E., Rademacher, R., Klein, S.A.: Absorption Chillers and Heat Pumps, CRC Press, Boca Raton, 1996.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the established system of quality assurance at the Faculty of Engineering.

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167 

Basic description

Course coordinator Roko Dejhalla

Course title Selected chapters on ship propulsion

Study programme Postgraduate doctoral study

Course status compulsory

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

General knowledge of the ship propulsion and ship propulsion devices. Understanding the relationship between the engine and the propeller as well as the connection between the ship resistance and ship propulsion. Introduction to methods for propeller design. Solving the problem of ship propulsion using appropriate methods.

Course enrolment requirements

None.

Expected course learning outcomes

To classify ship propulsion devices and to make comparison according to their advantages and disadvantages and possible applications. To explain the theories of propeller action and to apply the theory to various types of propellers. To explain a propeller cavitation and to analyze the possibility of reducing or avoiding cavitation. To analyze the interaction between ship hull and propeller and to evaluate the devices for improving propeller characteristics. To analyze the dynamic effects of propellers. To analyze the possibilities of using computational models for propellers design and analysis. To examine the possibility for determination of the propeller hydrodynamic characteristics using a commercial software and/or by creating the own program. To apply computer models to determine the ship propeller characteristics and to analyze the possibility of optimization of ship propulsion characteristics.

Course content

Propulsion of ships. Ship propulsion devices: sail, ship screw propeller, waterjet propulsion, vertical-axis propellers, and azimuthing thruster. Special types of propellers: controllable pitch propeller, ducted propeller, contrarotating propellers. Theory of propeller action. Propeller cavitation. Types of propeller cavitation. Criteria for prevention of cavitation. Propeller model tests. Interaction between ship hull and propeller. Devices to improve ship propulsion. Dynamic effects of propellers. Operational problems of propellers. Propeller design theories. Analysis of propeller hydrodynamics characteristics. Application of computational models for propeller design and analysis. Optimization of ship propulsion characteristics. Ship trial. Analysis of ship trial results.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Attending lectures and consultations. Collecting and studying of a literature, writing a seminar work with a presentation.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam Essay Research 4

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Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attending lectures and consultations. Collecting and studying literature, writing a seminar work with a presentation.

Assigned reading (at the time of the submission of study programme proposal)

Carlton, J.S., Marine Propellers and Propulsion, Butterworth-Heinemann, Oxford, 2007. Breslin, J.P., Andersen, P., Hydrodynamics of Ship Propellers, Cambridge Univ. Press, Cambridge, 1994. Perez Gomez, G., Gonzales-Adalid, J., Detailed Design of Ship Propellers, Fondo Editorial De Ingenieria Naval Del Colegio Oficial De Ingenieros Navales Y Oceanicos, Madrid, 1998.

Optional / additional reading (at the time of proposing study programme)

Harvald, Sv.Aa., Resistance and Propulsion of Ships, John Wiley & Sons, New York, 1983. Saunders, H.E., Hydrodynamics in Ship Design, Volume I-II, SNAME, Jersey City, 1957.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Carlton, J.S., Marine Propellers and Propulsion, Butterworth-Heinemann, Oxford, 2007.

1 0

Breslin, J.P., Andersen, P., Hydrodynamics of Ship Propellers, Cambridge Univ. Press, Cambridge, 1994.

1 0

Perez Gomez, G., Gonzales-Adalid, J., Detailed Design of Ship Propellers, Fondo Editorial De Ingenieria Naval Del Colegio Oficial De Ingenieros Navales Y Oceanicos, Madrid, 1998.

1 0

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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169 

Basic description

Course coordinator Roko Dejhalla

Course title Selected chapters on ship resistance

Study programme Postgraduate doctoral study

Course status compulsory

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

General knowledge of factors influencing the motion of ship in calm water. Introduction to the problem of flow around a ship. Understanding the problem of ship resistance and solving the resistance problem by appropriate methods.

Course enrolment requirements

None.

Expected course learning outcomes

To explain the components of ship resistance in calm water, to interpret and compare methods for resistance determination. To explain the influence of hull shape to ship resistance. To analyse the effects of appendages form to resistance and hull and appendages interaction. To analyze the local and global hydrodynamic characteristics of ship hull. To analyze the possibilities of using computational models for determination of the hydrodynamic characteristics of ship hull. To investigate the possibility of solving the problem of ship resistance using a commercial software and/or by creating the own program. To apply computer models to determine the hydrodynamic characteristics of ship hull and to analyze the possibility of optimization of ship hull form from the hydrodynamic point of view.

Course content

Ship resistance on calm water. The breakdown of resistance components. Frictional resistance. Viscous resistance. The wave resistance. Other resistance components. Ship resistance at shallow water. Methods for determining the resistance of the ship: analytical, experimental, and numerical. Added resistance. Effects of hull form to ship resistance. Effects of appendages form to ship resistance. The interaction of the hull and appendages. Local and overall hydrodynamic characteristics of the ship hull. Preliminary determination of the hydrodynamic characteristics. The application of computational methods for determining the hydrodynamic characteristics of ship hull. Ship hull optimization from a hydrodynamic point of view.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Attending lectures and consultations. Collecting and studying of a literature, writing a seminar work with a presentation.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam Essay Research 4

Project Sustained knowledge check

Report Practice

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170 

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Attending lectures and consultations. Collecting and studying literature, writing a seminar work with a presentation.

Assigned reading (at the time of the submission of study programme proposal)

Bertram, V., Practical Ship Hydrodynamics, Butterworth-Heinemann, Oxford, 2000. Insel, M., An Investigation into the Resistance Components of High Speed Displacement Catamarans, Ph.D. Thesis, University of Southampton, Southampton, 1990. Ferziger, J.H., Peric, M., Computational Methods for Fluid Dynamics, Springer Verlag, 2001.

Optional / additional reading (at the time of proposing study programme)

Harvald, Sv.Aa., Resistance and Propulsion of Ships, John Wiley & Sons, New York, 1983. Saunders, H.E., Hydrodynamics in Ship Design, Volume I-II, SNAME, Jersey City, 1957.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Bertram, V., Practical Ship Hydrodynamics, Butterworth-Heinemann, Oxford, 2000.

1 0

Insel, M., An Investigation into the Resistance Components of High Speed Displacement Catamarans, Ph.D. Thesis, University of Southampton, Southampton, 1990.

1 0

Ferziger, J.H., Peric, M., Computational Methods for Fluid Dynamics, Springer Verlag, 2001.

1 0

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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171 

Basic description

Course coordinator Nikša Fafandjel; Marko Hadjina

Course title Selected chapters on shipbuilding methodology

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Understanding of theoretical and practical knowledge on selected topics in shipbuilding methodology and especially on modern shipbuilding concepts. Solving the problems posed by using appropriate methods, techniques and tools.

Course enrolment requirements

None.

Expected course learning outcomes

Shipyard production system analysis - technological characteristics. Evaluation of the ship characteristics as the final product. Shipbuilding process characteristics evaluation. Production flows, processes and operations network analysis. Methodology of ship and ship production processes design synthesis. Analysis of the methodology of the shipbuilding preparation processes. Concepts and premises analysis of the design for the production, lean production, ship interim products, outfitting zones, group technology, product breakdown structure models, standardization and unification. Synthesis of methodologies for fabrication of interim products, assembly and ship outfitting. Zone outfitting concept evaluation. Integration of production processes. Evaluation of the assembly shipyard and virtual shipyard concepts. Analyses and selection of the model for development and improvement of shipbuilding methodology.

Course content

Shipbuilding production system - technological characteristics. Characteristics of the ship as the final product. Shipbuilding process characteristics. Production flows, processes and operations network. The methodology of designing products and processes. The methodology of ship production preparation processes. Design for production. Lean production. Technological suitability of ship hull breakdown to its interim products and outfitting zones. Group technology. Models of product work breakdown structure. Standardization and unification. The methodology of ship interim products fabrication, preassembly, assembly and outfitting. Zone outfitting. The integration of production processes. The issue of the accuracy of the process. Assembly shipyard. Virtual shipyard. Development and improvement of methodology of shipbuilding. Simulation modelling in the shipbuilding industry.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

The students are required to attend the classes (consultations), resolve research assignments, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

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172 

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their research assignments and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Internat. group of authorities, T. Lamb–editor: Ship Design and Construction. SNAME. Jersey City, 2003. Taggart, R.: Ship Design and Construction, New York, 1996. Design for Production Manual, 2nd edition, National Shipbuilding Research Program, U.S.Department of the Navy Carderock Division, Vol. 1-3, 1999. Winston, W.L.: Operations research - Applications and Algorithms. Duxbury Press, Belmont, 1994.

Optional / additional reading (at the time of proposing study programme)

Taguchi, G.: On Robust Technology Development. ASME Press, New York, 1992. Chang, Y. R., Kelly, K. P.: Improving through Benchmarking, Kogan Page Ltd., London, 1995. Storch, R. L. et al.: Ship Production, SNAME, New Jersey, 1995. Winston, W.L.: Introduction to Probability Models: Operations Research, Vol. 2, 4th edition, Duxbury Press, 2003. Saaty, L. T., Vargas, G. L.: Decision Making. RWS Publications, Pittsburg, 1994. Banks, J. : Handbook of Simulation: Principles, Methodology, Advances, Applications and Practice. John Wiley & Sons, Inc. 1998.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Internat. group of authorities, T. Lamb–editor: Ship Design and Construction. SNAME. Jersey City, 2003.

1 1

Taggart, R.: Ship Design and Construction, New York, 1996. 1 1 Winston, W.L.: Operations research - Applications and Algorithms. Duxbury Press, Belmont, 1994.

1 1

Design for Production Manual, 2nd edition, National Shipbuilding Research Program, U.S.Department of the Navy Carderock Division, Vol. 1-3, 1999.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

Page 174: POSTGRADUATE DOCTORAL STUDY PROGRAMME IN THE FIELD … · Postgraduate doctoral study programme 2 1. INTRODUCTION 1.1. Programme aims University of Rijeka Faculty of Engineering (hereinafter:

173 

Basic description

Course coordinator Bruno Čalić

Course title Selected chapters on ship’s design

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Within the course students acquire the advanced knowledge and skills that are required to be carried out in small ship’s design method, special ship’s design method and off-shore structures design methods. Additional basic knowledge related to fixed off-shore structures design methods, and definition and/or application of special additional technical requirements.

Course enrolment requirements

None.

Expected course learning outcomes

Analysing and distinguishing particular methods in smaller ships design: fishing ships (boats), classic boats, selling boats, yachts, air cushion vessels, hydrofoil crafts, fast planning boats, and other special small crafts designs. Determine how to implement particular design methods in off-shore structures (fixed and mobile types): additional knowledge in drilling ships designs; off-shore platform (fixed and semi-submerged types) designs; submarines (naval, tourist, working, research, salvage; diving bells; underwater robots (ROV/RCV) – remote operated/controlled by means of connecting (power-signal) ropes or autonomous. Describing and distinguishing problems related to naval ships design. Analysing and describing specific design problems related to non-conventional ship’s types.

Course content

Specific methods in smaller ships designs: fishing boats (various types); classic boats; selling boats and yachts; air cushion crafts; hydrofoil crafts; fast planning boats; and other special craft's types. Design od off-shore structures (floating and fixed), researching/exploration ships, platforms (fixed, semi-submerged), submarines (naval, tourist, working, research, salvage), diving bells, underwater robots (remote operated by means of power and signals supported cable and autonomous). Design of special naval ships. Design of other non-conventional ships.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course 0,5 Activity/Participation Seminar paper 2,5 Experimental

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174 

attendance work Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Principles of Naval Architecture, Second Revision, Volume I,II, The Society of Naval Architects and Marine Engineers, Jersey City, NJ, 1988. Manning, G.: Teorija i tehnika projektiranja broda, Tehnička knjiga, Zagreb, 1967. Schneekluth, H.: Ship Design for Efficiency and Economy, Butterworth & Co. Ltd,1987.

Optional / additional reading (at the time of proposing study programme)

Belamarić, I.: Brod i entropija, Književni krug, Split, 1998. Pravila za tehnički nadzor pomorskih brodova, Dio 1.-8., Hrvatski registar brodova, Split, 1999. Uputstva za korištenje programskih paketa za osnovne projektantske proračune te opisivanje formi.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Principles of Naval Architecture, Second Revision, Volume I,II 1 1 Manning, G.: Teorija i tehnika projektiranja broda 1 1 Schneekluth, H.: Ship Design for Efficiency and Economy 0 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

Page 176: POSTGRADUATE DOCTORAL STUDY PROGRAMME IN THE FIELD … · Postgraduate doctoral study programme 2 1. INTRODUCTION 1.1. Programme aims University of Rijeka Faculty of Engineering (hereinafter:

175 

Basic description

Course coordinator Bernard Franković

Course title Selected chapters on thermal sciences

Study programme Postgraduate doctoral study

Course status compulsory

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

33. COURSE DESCRIPTION

Course objectives

Mastering of theoretical knowledge in the field of numerical modeling for heat transfer problems. Mastering of skills required to carry out scientific research in the field of technical sciences.

Course enrolment requirements

None.

Expected course learning outcomes

Basic knowledge on different heat transfer mechanisms, their differences and fundamental characteristics. Practical skills and their application on physical laws for the formulation of heat and mass transfer problems. Setting and describing the mathematical formulations required for solving thermodynamic problems. Analysis and description of assumptions and simplifications taken when selecting the appropriate mathematical model. Evaluation and analysis of their potential influence on the results accuracy as well as on the required computational time. Research and implementation of the possible analytical or numerical approaches for solving heat transfer problems. Analysis of results and drawing out specific conclusions and explanations arising from the problem solution. Presentation of the research results in research report.

Course content

Basic laws of heat transfer. Temperature distribution within solids having cylindrical or spherical shapes. Linear and non-linearity boundary condition. Constant temperature and constant heat flux boundary conditions. Heat sources and heat sinks, non-stationary systems, phase change and chemically reacting solids. Convective heat transfer and the boundary layer problem. Nusselt similarity. Natural convection. Heat transfer in turbulent flow. Radiative heat transfer. Black body radiation and properties of gray bodies. Radiative heat transfer between general surfaces. Entropy density of radiation. Combined heat transfer by conduction, convection and radiation. Fundamentals of mass transfer. Definition of concentration, velocity and mass flow. Molecular mass transfer. Diffusion coefficients. Convection mass transfer. Fick's law of diffusion. Special forms of differential equations for mass transfer and boundary conditions. Steady-state molecular diffusion. Unsteady molecular diffusion. Mass transfer at interfaces. Complex diffusion mechanisms. Stefan-Maxwell equation. Diffusion with homogeneous and heterogeneous chemical reactions. Heat and mass transfer in porous bodies. Examples of numerical methods.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), write, prepare and present their project reports.

Evaluation of student’s work

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176 

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam Essay Research

Project 4 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Class attendance and class activities, project report and seminar paper.

Assigned reading (at the time of the submission of study programme proposal)

Bošnjaković, F., Nauka o toplini, Graphis, 2012. Bird, R.B., Steward, W.E., Lightfoot, E.N.: Transport Phenomena, J.Wiley & Sons, New York, 1960. Kays, W.M., Crawford, M.E.: Convective Heat and Mass Transfer, Mc Graw-Hill Book Co., NY, 1980. Ozisik, M.N.: Radiative Tran. and Interactions with Conduction and Convection, Wiley, N Y, 1973.

Optional / additional reading (at the time of proposing study programme)

Arpaci, V.S.: Convection Heat Transfer, Addison-Wesley Pub., Reading Mass. Co.,1966. Carslaw, H.S., Jaeger, J.C.: Conduction of Heat in Solids, Clarendon Press, Oxford, 1959.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Bošnjaković, F., Nauka o toplini, Graphis, 2012. Bird, R.B., Steward, W.E., Lightfoot, E.N.: Transport Phenomena, J.Wiley & Sons, New York, 1960.

10

1

2

2

Kays, W.M., Crawford, M.E.: Convective Heat and Mass Transfer, Mc Graw-Hill Book Co., NY, 1980.

1 2

Ozisik, M.N.: Radiative Tran. and Interactions with Conduction and Convection, Wiley, N Y, 1973.

1 2

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Basic description

Course coordinator Tomislav Senčić

Course title Selected chapterson thermal turbomachines

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Capability of two-phase flow analysis in thermal turbomachinery. Two-phase flow modelling. Experimental analysis of two-phase flows. Experimental analysis of erosion and erosion-corrosion process in laboratory and running environment.

Course enrolment requirements

None.

Expected course learning outcomes

Capability of two-phase flow analysis in thermal turbomachinery. Two-phase flow modelling. Experimental analysis of two-phase flows. Experimental analysis of erosion and erosion-corrosion process in laboratory and running environment.

Course content

Two-phase flow in thermal turbomachinery. Curent state of the two-phase fluid flow research in thermal turbomachinery. Two-phase flow modelling. Wet vapour characteristics and flow in turbine stages. Solid particles flow with the working fluid in thermal turbomachines. Experimental research on two-phase flow. Erosion and erosion-corrosion of turbomachinery components due to two-phase flow. Erosion and erosion-corrosion prediction methods. Erosion and erosion-corrosion prevention.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper 1.5 Experimental work

Written exam Oral exam Essay Research

Project 4 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

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Moore, M.J., Sieverding, C.H.: Two-Phase Steam Flow in Turbines and Separators, Hemisphere Publishing Comporation, Washington, 1976. Dejč, M.E., Filipov, G.A.: Gazodinamika dvuhfaznih sred, Energizdat, Moskva, 1981. Dejč, M.E., Filipov, G.A.: Dvuhfaznie tečenija v elementah teploenergetičeskogo oborudovanija, Energoatomizdat, Moskva, 1987.

Optional / additional reading (at the time of proposing study programme)

Krzyžanowski, J.: Erozja lopatek turbin parowych, Polska Akademija Nauk, Instytut Moszyn Przeplywowych, Zaklad Narodowy im. Ossolinskich-Wydawska, Wroclaw, 1991. Leyzerovich.A.: Large Power Steam Turbines, Vol. 1-2, Penn Well Publilshing Company, Tulsa, 1997.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Moore, M.J., Sieverding, C.H.: Two-Phase Steam Flow in Turbines and Separators, Hemisphere Publishing Comporation, Washington, 1976.

1 1

Dejč, M.E., Filipov, G.A.: Gazodinamika dvuhfaznih sred, Energizdat, Moskva, 1981.

1 1

Dejč, M.E., Filipov, G.A.: Dvuhfaznie tečenija v elementah teploenergetičeskogo oborudovanija, Energoatomizdat, Moskva, 1987.

1 1

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179 

Basic description

Course coordinator Marko Čanađija

Course title Selected chapters of thermomechanics

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Introduction to balance laws of continuum mechanics and constitutive material models with emphasis on elevated temperatures. To acquire knowledge about analytical and numerical solution procedures of coupled thermomechanical problems.

Course enrolment requirements

None.

Expected course learning outcomes

Define balance laws of continuum mechanics. Define constitutive models for different material behaviour at elevated temperatures. To apply analytical procedures in order to determine stresses and displacements in truss, beam, plate and shell structures under nonisothermal conditions. Analyse coupled thermomechanical problems by application of personal or commercial software. With application of commercial software optimize beam and plate structures in nonisothermal regimes. Solve problems from fracture mechanics, damage mechanics, fatigue, creep and relaxation at elevated temperatures by finite element method.

Course content

Introduction. Balance laws of continuum mechanics. Constitutive equations for elastic and inelastic materials in thermomechanics. Thermal and thermomechanical structural response. Time dependent and time independent problems. Coupled problems in thermomechanics. Analytical solutions in thermomechanical structural analysis: trusses, beams, plates, shells. Computational methods in thermomechanics. Finite element method in thermoplasticity. Modelling of thermomechanisal damage and fracture. Creep and fatigue under simultaneous mechanical loading and temperature. Thermomechanical fatigue. Influence of residual stresses on thermomechanical fatigue.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

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180 

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Boley, B. A., Weiner, J. H.: Theory of Thermal Stresses, John Wiley & Sons, New York, 1967. Aliabadi, M. H.: Thermomechanical Fatigue and Fracture, WIT Press, Boston, 2002. Noda, N. et al.: Thermal Stresses, Taylor & Francis, New York, 2003.

Optional / additional reading (at the time of proposing study programme)

Maugin, G.: Thermomechanics of Plasticity and Fracture, Cambridge University Press, Cambridge, 1992. Marsden, J. E., Hughes, T. J. R.: Mathematical Theory of Elasticity, Dover Pub., New York, 1994.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Boley, B. A., Weiner, J. H.: Theory of Thermal Stresses, John Wiley & Sons, New York, 1967.

1 1

Aliabadi, M. H.: Thermomechanical Fatigue and Fracture, WIT Press, Boston, 2002.

1 1

Noda, N. et al.: Thermal Stresses, Taylor & Francis, New York, 2003. 1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

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181 

Basic description

Course coordinator Albert Zamarin

Course title Ship structural design

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Within the course students will acquire the advanced knowledge about ship structural design as well as possibilities of practical application to ship structure through design methodology and specialized software.

Course enrolment requirements

None.

Expected course learning outcomes

Correctly interpret the objectives and procedures of the ship structural design. Define different aspects of hydrodynamic loadings and structural responses. Set up and analyse a mathematical formulation of the ship wave load equations. Analyse nonlinear effects in wave load. Asses the applicability of FEA in solving different structural problems. Set up and calculate hull and stiffened panels ultimate strength. Define the model for fatigue calculation. Apply specialized software packages in ship structural analysis. Correctly interpret the objectives of the uncertainty assessment and risk analysis in ship structural design.

Course content

Design methodology and basic procedures of the ship structure design. Structural design loads. Fluid-structure interaction. Different aspects of hydrodynamic loadings and structural responses. Linear and nonlinear load model at harmonic wave and seaway. Validations of finite element model in structural analysis. Hull ultimate strength calculation. Elastic buckling and ultimate strength of stiffened panels. Fatigue in structural design. Fundamentals of nonlinear structural analysis. Application of specialized software packages in ship structural analysis. Uncertainty assessment and risk analysis in ship structural design.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

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182 

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Hughes, O.F.: Ship Structural Design, A Wiley-Interscience Publications, New York, 1995. Hughes, O.F., Paik, J. K.: Ship Structural Analysis and Design, 2010. Okumoto, Y., Takeda, Y., Mano, M., Okada T.: Design of Ship Hull structures, Springer, 2009.

Optional / additional reading (at the time of proposing study programme)

Jensen, J. J.: Load and global response of the ships, Elsevier 2001. Bai, Y.: Marine Structural design, Elsevier, 2003. Paik, J. K., Thayamballi, A. K.: Ultimate Limit State Design of Steel-Plated Structures, John Wiley & Sons, 2006.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Hughes, O.F.: Ship Structural Design 1 1 Hughes, O.F., Paik, J. K.: Ship Structural Analysis and Design 1 1 Okumoto, Y., Takeda, Y., Mano, M., Okada T.: Design of Ship Hull structures

1 1

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183 

Basic description

Course coordinator Bruno Čalić

Course title Ship’s design methodology

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Within the course students acquire the advanced knowledge and skills that are required to be carried out in ship’s design methods. Teaching relates to up to date floating and off-shore objects design procedures. Students have to understand fundamental design knowledge to be implemented in complex floating objects and off-shore structures, including own knowledge and responsible managing of design procedure.

Course enrolment requirements

None.

Expected course learning outcomes

Getting new knowledge related to up to date hull forms definition of the floating objects. High skills in hull form description and related knowledge based on factors that have major influence in main dimensions determinations choice, form coefficients and other floating object characteristics. Adequate weight (mass) prediction in various new design stages as well as in present object conversions. Definition and analysis of seaworthiness parameters, stability, subdivision (including static methods), in very early design stage. Influence of engines, devices, and equipment distribution on to floating object mass calculation – centration with influence to the final hull form dimensions and hull form shape determination. Skills in usage data from realised projects as well as non-realised projects. Basic skills in resistance and propulsion prediction, especially in the early design stage. Complex influence of international conventions, rules and regulations (SOLAS, MARPOL. LOAD LINE) to new designs or conversions of present objects.

Course content

Up to date floating objects hull form determination. Main factors that have influence to the main and other dimensions and form characteristics determination. Weight (mass) prediction and distribution, especially in the early design stage. Seaworthiness, stability, subdivision prediction, including statistical methods. Influence of engines, devices and equipment weight distribution on the final ship form definition (dimensions) as well as ship's hull dorm shape definition. Usage of the known ship's designs data bases (realised and non-realised). Ship's propulsion methods in early ship's design stage. Influence of the international rules, regulations and conventions (SOLAS, MARPOL. LOAD LINE) to the ship's design.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

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184 

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Principles of Naval Architecture, Second Revision, Volume I,II, The Society of Naval Architects and Marine Engineers, Jersey City, NJ, 1988. Manning, G.: Teorija i tehnika projektiranja broda, Tehnička knjiga, Zagreb, 1967. Schneekluth, H.: Ship Design for Efficiency and Economy, Butterworth & Co. Ltd,1987.

Optional / additional reading (at the time of proposing study programme)

Belamarić, I.: Brod i entropija, Književni krug, Split, 1998. Pravila za tehnički nadzor pomorskih brodova, Dio 1.-8., Hrvatski registar brodova, Split, 1999. Uputstva za korištenje programskih paketa za osnovne projektantske proračune te opisivanje formi.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Principles of Naval Architecture, Second Revision, Volume I,II 1 1 Manning, G.: Teorija i tehnika projektiranja broda 1 1 Schneekluth, H.: Ship Design for Efficiency and Economy 0 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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185 

Basic description

Course coordinator Zoran Jurković, Miran Brezočnik

Course title Simulation methods in production

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Introduction to simulation modelling and methodology of simulation model building. Verification of simulation model then validation and analysis of the obtained results of the simulation experiment and comparison with the real production system.

Course enrolment requirements

No conditions.

Expected course learning outcomes

Recognizing of simulation problems in engineering praxis. Explaining of simulation principle and recognizing needs of simulation modelling of production system. Creating of simulation models of different types and solve them using appropriate methods and software. Verification and validation of simulation models.

Course content

The role and significance of simulation modeling of production systems. Discrete event processes simulation. Continuous processes simulation. Stochastic characteristics of the production processes. Random variables. Probability distributions. Random number generation and analysis of goodness generators. The theory of queues: entities of the queue, discipline and priorities. Optimization of production systems by queues. Simulation software’s.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Course attendance (consultation), preparation and presentation of seminar paper.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2 Experimental work

Written exam Oral exam Essay Research 3,5

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Course attendance, student activity on course, seminar paper.

Assigned reading (at the time of the submission of study programme proposal)

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186 

Banks, J., Carson, J. S., Nelson B. L., Nicol, D. M.: Discrete event system simulation, 5th Ed., Pearson Education International Series, 2009. Seila, A., Ceric, V., Tadikamalla, P.: Applied simulation modeling, Duxbury Press, 2003. Kelton, W. D., Sadowski, R. P., Swets, N. B.: Simulation with Arena, 5th Ed., McGraw-Hill, 2010.

Optional / additional reading (at the time of proposing study programme)

Rossetti, M. D.: Simulation modeling and Arena, John Wiley & Sons Inc., 2009. Altiok, T., Melamed, B.: Simulation modeling and analysis with Arena, Academic Press, 2007.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Banks, J., Carson, J. S., Nelson B. L., Nicol, D. M.: Discrete event system simulation

1 1

Seila, A., Ceric, V., Tadikamalla, P.: Applied simulation modeling 1 1 Kelton, W. D., Sadowski, R. P., Swets, N. B.: Simulation with arena 0 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution's quality assurance system.

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187 

Basic description

Course coordinator Neven Lovrin

Course title Special mechanical transmissions

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Within the course students acquire the advanced knowledge and develop the ability to calculate, design and apply special mechanical transmissions in industrial praxis.

Course enrolment requirements

None.

Expected course learning outcomes

Acquiring knowledge and skills on the design, calculation, application and analysis of special mechanical transmissions. Ability to develop design of special mechanical transmissions, taking into consideration demands regarding reliability, safety, quality, cost, ecology, ergonomics, engineering ethics, etc. Ability to use commercial software solutions and/or to develop own software solutions for calculation, analysis and optimization of special mechanical transmissions. Developing the skills of scientific presentations of the selected design solutions.

Course content

Fundamentals of special mechanical transmissions. Design criteria: compaction, minimisation of the power losses, durability and reliability, maintenance. Marine high-power gearing, marine planetary (epicyclic) gearing, shaft generator gearing, turbine gearing, planetary gear-boxes. Analysis of forces and torques. Power branching. Planetary differential gearing. Transmissions with elastic gears. Frictional and belt transmissions. Continuously variable transmissions. Automatic gear-boxes. Orbit gearing. Cycloidal planetary gearing. Robot gearing. High transverse contact ratio gearing. Special non-involute gearing. Application of ecology and engineering ethics in special mechanical transmissions. Application of expert systems and computers for the calculation of special mechanical transmissions.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), study relevant literature, complete assigned project work, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2 Experimental work

Written exam Oral exam Essay Research 3,5

Project Sustained knowledge check

Report Practice

Portfolio

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188 

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve doing independently their seminar work and on the public presentation of their results.

Assigned reading (at the time of the submission of study programme proposal)

Lechner, G., Naunheimer, H.: Automotive Transmissions, Springer-Verlag Berlin Heidelberg, 1999. Orlić, Ž., Orlić, G.: Planetni prijenosi, Zigo, Rijeka, 2006. Opalić, M.: Prijenosnici snage i gibanja, HDESK, Zagreb, 1998.

Optional / additional reading (at the time of proposing study programme)

Lovrin, N.: Load Capacity Analysis of the High Transverse Contact Ratio Involute Gearing, Thesis (in Croatian), University of Rijeka, Rijeka (Croatia), 2001. Bowen, R. W.: Engineering Ethics, Springer-Verlag London Limited, 2009.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Lechner, G., Naunheimer, H.: Automotive Transmissions, Springer-Verlag Berlin Heidelberg, 1999.

1 1

Orlić, Ž., Orlić, G.: Planetni prijenosi, Zigo, Rijeka, 2006. 1 1 Opalić, M.: Prijenosnici snage i gibanja, HDESK, Zagreb, 1998. 1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

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189 

Basic description

Course coordinator Goran Turkalj, Tomaž Katrašnik

Course title Stability of structures

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Students will be qualified for autonomous assessing of load levels at which structural deformation forms become unstable.

Course enrolment requirements

None.

Expected course learning outcomes

Determine stress and strain tensors for geometrically nonlinear problems. Explain static, dynamic and energy criteria of structural stability. Analyse flexural, torsional and torsional-flexural stability of columns. Analyse lateral-torsional stability of beams. Analyse stability problems of frames, arches and rings. Analyse large rotation effects on stability of spatial structures. Analyse materially nonlinear structural stability problems. Apply approximate methods in structural stability analysis.

Course content

Classification of structural stability problems. Geometric nonlinearity. Linear and nonlinear stability analysis. Global and local instabilities. Flexural, torsional and torsional-flexural buckling of compressed rods. Lateral-torsional buckling of beams. Stability of frames. Stability of arches and rings. Stability of rods under varying load. Stability of thin plates and shells. Stability of elastoplastic, viscoelastic and viscoplastic structures. Application of Bubnov-Galerkin and Rayleigh-Ritz methods. Structural stability analysis by finite element method and computer applications.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

1 Activity/Participation Seminar paper 3 Experimental work

Written exam Oral exam Essay Research 2

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

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Assigned reading (at the time of the submission of study programme proposal)

Chen, W. F., Atsuta, T.: Theory of Beam-Columns, J. Ross Publishing, Fort Lauderdale, 2008. Simitses, G. J., Hodges, D. H.: Fundamentals of Structural Stability, Elsevier, Amsterdam, 2006. Gambhir, M. L.: Stability Analysis and Design of Structures, Springer-Verlag, Berlin, 2004.

Optional / additional reading (at the time of proposing study programme)

Wang, C. M., Wang, C. Y., Reddy, J. N.: Exact Solutions for Buckling of Structural Members, CRC Press, Boca Raton, 2005. Bažant, Z. P., Cedolin, L.: Stability of Structures, Dover Publication, Mineola, 2003. Alfutov, N. A.: Stability of Elastic Structures, Springer-Verlag, Berlin, 2000. Chen W. F., Lui, E. M.: "Structural Stability", Prentice Hall, Upper Saddle River, New Jersey, 1987.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Chen, W. F., Atsuta, T.: Theory of Beam-Columns, J. Ross Publishing, Fort Lauderdale, 2008.

1 X

Simitses, G. J., Hodges, D. H.: Fundamentals of Structural Stability, Elsevier, Amsterdam, 2006.

1 X

Gambhir, M. L.: Stability Analysis and Design of Structures, Springer-Verlag, Berlin, 2004.

1 X

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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191 

Basic description

Course coordinator Nelida Črnjarić-Žic

Course title Statistical methods and stochastic processes

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Knowledge about basic principles in statistical methods needed for the analysis of data obtained from different engineering problems. Introduction to stochastic processes. Data manipulation and the analysis of statistical data by applying acquired methods within statistical engineering software’s, modeling of engineering problems as stochastic processes.

Course enrolment requirements

None.

Expected course learning outcomes

Differentiate methods of statistical inference; explain basic concepts of techniques of statistical inference. Define stochastic processes and Markov chains as a special type of stochastic processes, define and explain in an appropriate way the basic concepts in stochastic processes. Identify and describe practical engineering problems in which the statistical methods can be usefully applied as well as problems which can be modeled as stochastic processes. Define adequate problem formulation for applying the appropriate statistical method or to model a problem as a stochastic process. Analyze the possibilities of applying different methods of statistical inference in the considered problem, compare them and choose an appropriate method. Summarize statistical data and analyze them by using some typical statistical engineering software’s. Analyze the results of statistical data processing, interpret obtained results and make conclusions about the data, as well as to make possible predictions based on obtained conclusions.

Course content

Elements of statistical inferences: Bayesian methods, sample based methods, statistical estimation, parametrical tests, analysis of variance, multidimensional random variables, regression and correlation analysis, mathematical bases of quality control methods. Statistical methods by using statistical software. Stochastic processes: Markov chains, stochastic matrix, optimal control of Markov chains. Stationary and regular Markov chains. Markov processes. Birth and death processes. Queuing systems. Stationary stochastic processes. Correlation theory. Some applications in engineering.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

Course attendance (consultations), solving project assignment, preparing and presenting the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

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192 

Written exam Oral exam Essay Research

Project 4 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Course attendance, project, seminar paper.

Assigned reading (at the time of the submission of study programme proposal)

Montgomery, D.C., Runger, G.C.: Applied Statistics and Probability for Engineers, Wiley, New York, 2003. Devore, J.L.: Probability and Statistics for Engineering and the Sciences, Duxbury Press, 1995. Winston, W. L.: Introduction to probability models: Operations Research, Volume II, Duxbury Press, 2003.

Optional / additional reading (at the time of proposing study programme)

McClave, J.T., Dietrich, F.: Statistics, Collier Macmillan Publishers, London, 1988. Elezović, N.: Statistika i procesi, FER, Element, Zagreb 2008. (in Croatian)

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Montgomery, D.C., Runger, G.C.: Applied Statistics and Probability for Engineers, Wiley, New York, 2003.

1 10

Devore, J.L.: Probability and Statistics for Engineering and the Sciences, Duxbury Press, 1995.

1 10

Winston, W. L.: Introduction to probability models: Operations Research, Volume II, Duxbury Press, 2003.

1 10

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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193 

Basic description

Course coordinator Mirko Soković

Course title Statistical process control

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Understanding the content in the field of statistical process control. Application of acquired knowledge and skills through individual assignments and project.

Course enrolment requirements

None.

Expected course learning outcomes

Distinguish between causes of process variability. Define the method of sampling. Select the appropriate acceptance sampling plans for the given example, in practice. Apply the appropriate control chart. Analyze the variability of the process. Calculate the process capability.

Course content

Statistical methods for process control. Statistics of samples and processes. Common and special causes of process variability. Sampling. The frequency and size of the samples. Acceptance sampling plans and probability. Empirical distribution of events or patterns. Estimation and confidence interval of the process. Probability function. Analysis and calculation of parameters of process capability. Estimating of natural process limits. Statistical tolerance. Control charts for monitoring the attribute properties and process variables. Group control charts. Control and warning limits. Deming's approach to process quality control. Demerit methods. Optimizing the quality of the process. The probability of non-compliance. Henry's line, the probability paper. Statistical analysis and interpretation. Automation of statistical process control. Application of statistical process control methods and problem solving.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

Solving individual assignment and project, preparation and presentation of seminar and oral exam.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam 0,5 Essay Research 3

Project Sustained knowledge check

Report 0,5 Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

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Evaluation of students' project work. Oral exam.

Assigned reading (at the time of the submission of study programme proposal)

Montgomery, D. C., Introduction to Statistical Quality Control, 3rd ed., John Wiley & Sons, New York, 1996. Montgomery, D. C., Runger, G. C., Applied statistics and probability for engineers., John Wiley & Sons, New York, 1994. Vardeman, S. B., Jobe, J. M.: Statistical Quality Assurance Methods for Engineers, John Wiley & Sons, New York, 1999.

Optional / additional reading (at the time of proposing study programme)

Gitlow, H., et al., Tools and Methods for the Improvement of Quality, Irwin, Boston, 1989. Betteley, G., Mettrick, N., Sweeney, E., Wilson, D.: Using Statistics in Industry – Quality Improvement Through Total Process Control, Prentice Hall, New York, 1994.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Montgomery, D. C., Introduction to Statistical Quality Control, 3rd ed., John Wiley & Sons, New York, 1996.

1 2

Montgomery, D. C., Runger, G. C., Applied statistics and probability for engineers., John Wiley & Sons, New York, 1994.

1 2

Vardeman, S. B., Jobe, J. M.: Statistical Quality Assurance Methods for Engineers, John Wiley & Sons, New York, 1999.

1 2

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Through the Institution’s quality assurance system.

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Basic description

Course coordinator Juraj Šimunić

Course title Stochastic process information models

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Complex technical systems and substations process information modelling.

Course enrolment requirements

None

Expected course learning outcomes

Students will gain knowledge of the modular structures of technical systems as well as of the models of real-time process information obtained in electric power substations and systems. They will be able to present the process variables in a multidimensional vector space. Furthermore, the students will be able to describe the technological-functional model of process information and to explain and interpret the electric power substation’s process information sources. Students will also be able to describe the basic event space as well as the probability space, to analyse the dynamics of process information exchange at the level of electric power substations, and to understand the software used at the power system monitoring, protection and control centres. Finally, they will be able to explain the empirical and theoretical frequency distributions of the process information dynamics.

Course content

Modular structure of technical systems. Variable structure in plant identification function. Process variables in multidimensional vector space. Meaning of signal variable and information in modular structure of process parameters. Technological-functional model of process information. Process information design based on object oriented analysis. Standardization of communication and process information in automation system of the power plant. Models of information processing in an environment of new technologies and related standards. Stochastic nature of information process. Basic event space, event algebra and experiment probability space. n-dimensional random variable of process information. Regression curve, empirical, linear and nonlinear space-time correlation of process information. Experimental analysis of process information dynamics. Empirical and theoretical distribution of process information frequencies.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

1 Activity/Participation Seminar paper 1 Experimental work

1

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Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Course attendance, teaching activity, evaluation of student’s work in their project and seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Pauše Ž., Uvod u teoriju informacije, Školska knjiga, Zagreb, 1990. Šimunić J., Modular structure of stochastic proces information for power system control, CIT 3,1995. Booch, G., Object Oriented Analysis and Design with Applications, Addison – Wesley OTS, 1994.

Optional / additional reading (at the time of proposing study programme)

Strauss C., Practical Electrical Network Automation and Communication Systems, Elsevier, 2003. Brand K.P., Lohmann V., Wimmer W., Substation Automation Handbook, UAC, 2003. Shahidehpour M., Wang Y., Communication and Control in Electric Power Systems, Wiley & Sons, 2003.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Pauše Ž., Uvod u teoriju informacije, Školska knjiga, Zagreb, 1990.

1 1

Šimunić J., Modular structure of stochastic proces information for power system control, CIT 3,1995.

1 1

Booch, G., Object Oriented Analysis and Design with Applications, Addison – Wesley OTS, 1994.

1 1

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Basic description

Course coordinator Kristian Lenić

Course title Thermodynamic analysis of processes

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Enhancing the theoretical knowledge in fields of mathematical modelling and numerical solving, as well as training of skills for solving practical numerical problems in fields of heat transfer processes. Training of skills necessary for performing of scientific-research work in field of technical sciences.

Course enrolment requirements

None

Expected course learning outcomes

Describe the basic characteristics of reversible and irreversible thermal processes and explain their differences. Associate professional knowledge and apply the appropriate physical laws in the formulation of concrete problems of thermodynamic processes. Set and describe the mathematical formulation for solving a given thermodynamic problems. Analyze and characterize the assumptions and simplifications adopted in the selected mathematical model. Evaluate and analyze their possible impact on the accuracy of the results as well as the required calculation time. Investigate the possibility of solving the problem by analytical and numerical approach. Select and implement the appropriate method. Investigate the validity of thermal processes by using energy and exergy analysis. Analyze the results and perform specific conclusions and explanations based on the linking of expertise and the results obtained. Present research results in the form of research works.

Course content

Structural analysis. Modelling of thermal processes. Irreversible processes. Treatment of classical thermodynamics through irreversible processes. Entrophy. Work losses. Exergy. Efficiency of thermal processes. Nernst theorem or 3rd law of thermodynamics. Treatment of classical thermodynamics using statistical methods.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper 1 Experimental work

Written exam Oral exam Essay Research 2.5

Project 2 Sustained knowledge check

Report Practice

Portfolio

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198 

Assessment and evaluation of student’s work during classes and on final exam

Lectures (consultations) attendance and activity, projects and seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Ahern, J.E.: The Exergy Method of Energy Systems Analysis, Wiley, New York, 1980. Bejan, A.: Entropy Generation through Heat and Mass Fluid Flow, Wiley Interscience, New York, 1982. Bošnjaković, F.: Nauka o toplini, Sv. 3., Tehnička knjiga, Zagreb, 1986.

Optional / additional reading (at the time of proposing study programme)

Bejan, A., Tratsaronis, G., Moron, M.: Thermal Design and Optimization, J. Wiley & Sons, N Y, 1996. Sonntag, R., Wylen, G.J.V.: Fundamentals of Statistical Thermody¬namics, J. Wiley & Sons, N Y, 1970.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Ahern, J.E.: The Exergy Method of Energy Systems Analysis, Wiley, New York, 1980.

1 2

Bejan, A.: Entropy Generation through Heat and Mass Fluid Flow, Wiley Interscience, New York, 1982.

1 2

Bošnjaković, F.: Nauka o toplini, Sv. 3., Tehnička knjiga, Zagreb, 1986. 2 2

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

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199 

Basic description

Course coordinator Bernard Franković

Course title Thermodynamics of mixtures and thermal devices

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

84. COURSE DESCRIPTION

Course objectives

Mastering of theoretical knowledge in the field of thermodynamics of mixtures as well as developing skills for solving practical problems. Developing skills necessary to carry out scientific research in the field of technical sciences.

Course enrolment requirements

None.

Expected course learning outcomes

Knowledge on the basic thermal processes with mixtures, their differences and fundamental characteristics. Application of practical skills on physical laws for the formulation of problems with mixtures. Setting and describing the appropriate mathematical formulation for solving heat and mass transfer problems with mixtures. Solving problems using different analytical and numerical approaches. Classification and analysis of thermal devices with mixture as working fluid, differences and fundamental characteristics of thermal devices. Analysis of results and drawing out specific conclusions and explanations arising from the problem solution. Presentation of the research results in research report.

Course content

Thermal processes with mixtures. Systems with multiple phases. Thermal processes with binary mixtures. Separation of mixtures. Distillation and rectification. Calculation of different types of distillation and rectification columns. Heat pumps in rectification columns. Separation of gases by liquefaction. Heat and mass transfer between phases. Irreversibility of mixture separation. Sorption chillers and sorption heat pumps. Conditions of equilibrium. Equilibrium in heterogeneous mixtures. Work using mixtures. Brine vaporization.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), write, prepare and present their project reports.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam Essay Research

Project 4 Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

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200 

Class attendance and class activities, project report and seminar paper.

Assigned reading (at the time of the submission of study programme proposal)

Bošnjaković, F.: Nauka o toplini, Graphis, Zagreb, 2012. Rant, Z.: Isparivanje i uparivanje. Tehnička knjiga, Zagreb, 1965. Kays, W.M., Crawford, M.E.: Convective Heat and Mass Transfer, Mc Graw-Hill Book Co., NY, 1980.

Optional / additional reading (at the time of proposing study programme)

Grassmann, P.: Einfuehrung in die thermische Verfahrenstechnik, Walter de Gruyter, Berlin, 1967. Eder, W., Moser, F.: Die Waermepumpe in der Verfahrenstechnik, Springer Verlag, Berlin, 1987.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Bošnjaković, F.: Nauka o toplini, Graphis, Zagreb, 2012 10 2 Rant, Z.: Isparivanje i uparivanje. Tehnička knjiga, Zagreb, 1965. 5 2 Kays, W.M., Crawford, M.E.: Convective Heat and Mass Transfer, Mc Graw-Hill Book Co., NY, 1980.

2 2

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201 

Basic description

Course coordinator Senka Maćešić, Jerko Škifić

Course title Transient pipe flow modeling

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Within the course students acquire the knowledge oriented towards the solution of engineering practice problems. Development of numerical solutions of transient pipe flow applicable on specific engineering practice problems.

Course enrolment requirements

None.

Expected course learning outcomes

Properly interprete physics of transient gas and/or liquid flow in pipes: nozzles, cavity, etc. To set out and properly interprete transient flow mathematica models: initial and boundary value problems for Euler, Allievi and Kranenburg equations. To express and properly interprete basic mathematical traits of aformentioned models, as well as hyperbolic conservation and/or balance laws. To relate mathematical concept derived from models with physical phenomena in transient fluid flow in pipes. To specify and properly interprete problems related to numerical schemes for hyperbolic conservation and/or balance laws in relation to numerical methods for parabolic and eliptic equations. To categorize and properly interprete basic ideas of “state of the art” numerical schemes. To numericaly solve preceding problems: proper choice of model, boundary conditions, software, arrange input data, process and interprete numerical results. Apply preceding knowledge on typical problems taken og engineering problems.

Course content

Transient gas pipe flow – Euler equations. Transient liquid pipe flow and water hammer – Allievi equations. Transient pipe flow of gas and liquid mixture – Kranenburg model. Pipeline apparata as boundary conditions in mathematical model. Numerical methods – method of characteristics, first and second order upwind schemes, ENO/WENO schemes. Numerical simulations.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam Essay Research 4

Project Sustained knowledge check

Report Practice

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202 

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Chaudry M. H., Applied Hydraulic Transients, Nostrand Reinhold Comp., NY 1979. Chorin, A.J., Marsden.: Mathematical introduction to fluid mechanics, Springer-Verlag, New York, 1991. Leveque R. J., Numerical Methods for Conservation Laws, Birkhauser Verlag, Basel 1992

Optional / additional reading (at the time of proposing study programme)

Wylie, E.B., Streeter, V.L., Fluid Transients in Systems, Prentice-Hall, New Jersey, 1993.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Chaudry M. H., Applied Hydraulic Transients, Nostrand Reinhold Comp., NY 1979.

1 1

Chorin, A.J., Marsden.: Mathematical introduction to fluid mechanics, Springer-Verlag, New York, 1991.

1 1

Leveque R. J., Numerical Methods for Conservation Laws, Birkhauser Verlag, Basel 1992

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

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203 

Basic description

Course coordinator Zoran Mrša, Zoran Čarija

Course title Turbomachinery hydrodynamics

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Identifying computational problems in engineering practice; understanding and application of computer environment for turbomachine geometry creation. Automatic creation of 2D and 3D geometry of hydraulic machines; application of commercial software for fluid flow simulation and turbomachine performance assessment.

Course enrolment requirements

None.

Expected course learning outcomes

Indicate and correctly interpret 2D numerical fluid flow analysis of axial and radial turbo machinery. Develop tools for effective blade design for hydraulic machines: apply different spline curves for blade shape design: using NACA profiles, using pressure and suction side curves and using profile camber and thickness curves. Develop a computer program in Fortran or C / C+ + and apply it to create geometry of wicket gate, stay vanes and runner blades. Apply a commercial computer program for simulation of 3D flow in the axial, radial and axial-radial turbines and determine machine performance and efficiency. Define geometric parameters for shape optimization and perform an optimization based on fluid flow simulation results.

Course content

Problem formulation. 2D numerical fluid flow analysis of axial and radial turbines. Development of tools for efficient blade design using different spline curves. Blade design using NACA profiles, pressure and suction side curves and camber and thickness curve distribution. Computer programs in Fortran, C, C+ +. Applications for creation of geometry of stay vanes, wicket gate and rotor blades. Finite volume discretization and numerical fluid flow simulation. 3D fluid flow simulation in the axial, radial and axial-radial turbines. Machine performance assessment . Definition of geometric parameters for blade shape optimization.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam Essay Research 4

Project Sustained knowledge check

Report Practice

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204 

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Krivchenko, G., Hydraulic Machines: Turbines and Pumps, ISBN 1-56670-001-9, CRC Press, 1994. Horvat, D., Vodne turbine, Tehnička knjiga, 1955 Tuzson, J., Centrifugal Pump Design, ISBN 0-471-36100-3, John Wiley & Sons, 2000.

Optional / additional reading (at the time of proposing study programme)

Ferziger, J.H., Peric, M., Computational Methods For Fluid Dynamics, ISBN: 3540420746, Springer-Verlag, 1996. W.Press et al: Numerical Recipes for C/C++/Pascal/fortran, Cambridge University Press, 1992.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Krivchenko, G., Hydraulic Machines: Turbines and Pumps, ISBN 1-56670-001-9, CRC Press, 1994.

1 1

Horvat, D., Vodne turbine, Tehnička knjiga, 1955 1 1 Tuzson, J., Centrifugal Pump Design, ISBN 0-471-36100-3, John Wiley & Sons, 2000.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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Basic description

Course coordinator Zoran Mrša

Course title Turbulent flow

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Within the course students acquire different turbulence models used in engineering practice. Student gain knowledge about software and needed hardware for numerical modeling of turbulence.

Course enrolment requirements

None.

Expected course learning outcomes

Recognize and properly interprete the turbulent flow nature, equations, statistical approach and different turbulence flow averaging equations. Recognize and correctly interpret the equation averaged quantities: Reynolds equation and Reynolds stresses. Recognize and correctly interpret basic types of turbulent flow: free flow, flow over backward facing step and homogeneous turbulence. Recognize and properly interpret the Kolmogorov hypothesis, the cascade of energy, energy spectrum and two-point correlation. Properly interpret turbulence modeling: Direct numerical simulation (DNS), filtered equations (Smagorinsky model and the dynamic model) and phenomenological models of turbulent viscosity (algebraic models, K - ε model, K - ω model, Spalart - Allmaras models of Reynolds stresses , PDF models). Ability to apply acquired knowledge on modeling and simulation of turbulence using modern tools for fluid flow simulation.

Course content

Introduction. The nature of turbulent flow. The equations of fluid motion. Statistical description of turbulent flow. Turbulence probability. The probability distributions. Random processes and fields. Probability and averaging. Equations averaged quantities: Reynolds equation and Reynolds stresses. Free jets. Circular jet: experimental data, a description of flow field averaged velocity, Reynolds stresses averaged momentum and energy. Plane jet. The scales of turbulent flow. Kolmogorov hypothesis. The cascade energy spectrum. Two-point correlation. Modeling and simulation of turbulence. Direct numerical simulation. Eddy viscosity models: algebraic models, K - ε model, K - ω model, Spalart - Allmaras model. Models Reynolds stresses. PDF models. Simulation of large eddies (Large Eddy Simulation). The filtered equations Conservation of momentum and energy. Smagorinsky model. Dynamic model.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam Essay Research 4

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206 

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Pope, B. S. Turbulent flows, Cambridge University press, 2000. Durbin, P. A. Statistical Theory and Modeling for Turbulent Flows, John Willey & Sons, 2000. Wilcox, D. C. Turbulence modeling of CFD. La Canada, CA; DCW Industries, 1993.

Optional / additional reading (at the time of proposing study programme)

Sagant, P. Large Eddy Simulation for Incompressible Flows, Springer – Verlag, 1998

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Pope, B. S. Turbulent flows, Cambridge University press, 2000. 1 1 Durbin, P. A. Statistical Theory and Modeling for Turbulent Flows, John Willey & Sons, 2000.

1 1

Wilcox, D. C. Turbulence modeling of CFD. La Canada, CA; DCW Industries, 1993.

1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

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207 

Basic description

Course coordinator Roberto Žigulić, Sanjin Braut

Course title Vibrations and durability of machines and structures

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Students acquire the advanced knowledge in the field of vibration and durability of machines and structures. Mathematical modeling and finding solution of problems related to vibration and durability using appropriate methods and software. Experimental verification of simulation results.

Course enrolment requirements

None

Expected course learning outcomes

Mathematical formulation of structure or machine vibration problem. Analyze the possibilities and limitations of commercial software for a given problem and perform numerical analysis of practical vibration problems in such software. Make an assessment of the fatigue life of the machine component or structure for a given load history and the mechanical properties of the material, using appropriate fatigue theory.

Course content

Nonlinear vibration. Turbomachinery self excited vibration. Transient vibration. Modal parameters. The types of transfer functions displacement - force, velocity – force, acceleration - force. Balancing of the rotor. Flexible rotors and balancing theory in two and more plains. Mechanisms unbalance. Crank mechanism balancing. Dynamics of the rigid and flexible rotor. Aging and wear processes. Creep and crack progression at creep. Low and high cyclic fatigue and fracture. Crack propagation at low cyclic fatigue. Influence of stress concentration. Crack propagation at corrosion. Effects of complex stress. Miner’s rule. Erosion and corrosion. Tribological wear. Life estimation of machines and structures. Safety consideration in time domain, stress domain, strain domain and wear domain

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0.5 Activity/Participation Seminar paper 2.5 Experimental work

1

Written exam Oral exam Essay Research 2

Project Sustained knowledge check

Report Practice

Portfolio

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208 

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on their engagement during lecture/consultation and the results they achieve in their project and the seminar work.

Assigned reading (at the time of the submission of study programme proposal)

Genta, G.: Vibration of Structure and Machines, Springer, New York, 1998. Harris, C.M., Crede, C.E.: Shock and Vibration, Handbook, Mc Graw Hill, New York, 1980. Colins, J.A.: Failure of Material in Mechanical Design, Wiley & Sons, New York, 1993.

Optional / additional reading (at the time of proposing study programme)

Juvinal, R.C.: Stress, Strain and Strength, Mc. Graw Hill, New York, 1987. Gudehus, M., Zenner, H.: Leitfaden fűr eine Betribsfestgheitberachnung, VDEh, Dűsseldof, 1999. Gasch, R., Nordmann, R., Pfuetzner, H.: Rotordynamik, Springer, Berlin, 2001.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Genta, G., Vibration of Structures and Machines, 1 1 Harris, C.M., Crede, C.E.: Shock and Vibration, Handbook 1 1 Colins, J.A.: Failure of Material in Mechanical Design 1 0

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

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209 

Basic description

Course coordinator Domagoj Lanc

Course title Viscoelasticity and viscpolasticity

Study programme Postgraduate doctoral study

Course status optional

Year 1.

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

COURSE DESCRIPTION

Course objectives

Introducing in the the concepts of viscoelasticity and viscoplastiticy. The application of analytical and numerical methods in structural analysis at different viscoelastic and viscoplastic regimes.

Course enrolment requirements

None.

Expected course learning outcomes

Define the terms of viscoelasticity and viscoplastiticy. Formulate basic elastoviscoplastic stress and strain relations in mathematical terms. Show the time responses of viscoelastic and viscoplastic material rheological models. Utilize the existing software and develop the new software solutions for elastoviscoplastic simulation of structural response using the finite element method. Analyze and compare the different approaches to problem solving.

Course content

Linear theory of viscoelasticity. Basic equations of viscoelasticity. Properties of metals and other materials at high temperatures. Inelastic - viscoelastic and viscoplastic material response. Viscoelastic, elastoviscoplastic and viscoplastic models. Creep and relaxation diagrams. Viscoelastic equations, elastoviscoplastic and viscoplastic models for the state of constant stress, constant strain and constant strain rate. Analytical solutions for describing behavior of materials based on simple models. Numerical determination of stress, strain and displacement. Numerical simulation of elastoviscoplastic material behavior using the finite element method.

Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

Comments -

Student’s obligations

The students are required to attend the classes (consultations), do their project, prepare and present the seminar.

Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2,5 Experimental work

Written exam Oral exam Essay Research 3

Project Sustained knowledge check

Report Practice

Portfolio

Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be based on the results they achieve in their project and the seminar

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work.

Assigned reading (at the time of the submission of study programme proposal)

Brnić, J.: Elastomehanika i plastomehanika, Školska knjiga, Zagreb, 1996. Findley, W.N., Lai, J.S., Onaran, K.: Creep and Relaxation of Nonlinear Viscoelastic Materials, Dover, 1976. Penny R. K., Marriott D.L.: Design for Creep, Chapman&Hall, 1995.

Optional / additional reading (at the time of proposing study programme)

Drozdov, A. D.: Mechanics of Viscoelastic Solids, John Wiley & Sons, Chichester, 1998. Brnić, J.: Elastoplasticity and Elastoviscoplasticity, Interuniversity Network, PAMM Center, Budapest,1998.

Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students Brnić, J.: Elastomehanika i plastomehanika, Školska knjiga, Zagreb, 1996.

1 1

Findley, W.N., Lai, J.S., Onaran, K.: Creep and Relaxation of Nonlinear Viscoelastic Materials, Dover, 1976.

1 1

Penny R. K., Marriott D.L.: Design for Creep, Chapman&Hall, 1995. 1 1

Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the Institution’s quality assurance system.

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3.5. Studying and student obligations   

The  requirement  for  admission  into  the  second  semester,  for  both  full‐time  and  part‐time students,  is  that  they  have  taken  required  first‐semester  courses.  The  requirements  for  the  third semester are  that students have  taken second‐semester courses,  that  they have passed  first‐semester exams  and  that  they have been positively  reviewed  for  their public  presentation of  research  results. There are no special requirements for taking a certain course or a group of courses, apart from the fact that each course can only be taken in a certain semester and that students choose and take courses in consultation with their advisors. 

 Before  enrolling  into  the  third  year,  students  need  to  register  their  doctoral  thesis.  The requirement  for  thesis  registration  is  that  first‐semester  exams  have  been  passed.  Additional requirements  for  admission  into  certain  semesters  are  defined  in  Article  25  and  Article  29  of  the Regulations. Requirements for thesis submission are defined in Article 34 of the Regulations. 

Part‐time students have twice more time to fulfil the obligations defined for full‐time students.  

 3.6. Advice and guidance system   

The advice and guidance system  is achieved through the work of the Head of Doctoral Studies, the Head of Doctoral Studies Modules and students’ supervisors. 

The Head of Doctoral Studies  confirms  the  supervisors’  choice of  courses before  students put them into their matriculation books.  

The Faculty Council assigns a supervisor to each student according to the Committee’s proposal. Supervisors  are  lecturers  at  the  postgraduate  study  elected  into  teaching  and  research  positions. Supervisors helps  students  in personalising  the programme,  they  give  advice  regarding  literature  and choice of research methodology and they help students  in choosing the theme of their doctoral thesis and working on their thesis. In addition, supervisors are required to submit a yearly report on students’ progress to the Faculty Council or the Dean.   3.7. Courses and/or modules from other postgraduate programmes   

As part of free elective courses, students can take not only courses that are not in the module, but courses from another postgraduate programme at a different faculty. The list of such courses is not predefined – rather, students choose such courses in consultation with their supervisors.   3.8. Courses and/or modules that can be taught in a foreign language   

All courses in all modules will be able to be taught in Croatian and English.     

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   3.9. ECTS credits transfer   

For the course that a student takes from other postgraduate programmes at the University or at other universities, the Faculty will accept ECTS credits given for that course at the main institution. When taking such courses, students will need to take in consideration that the total number of ECTS credits at the doctoral programme, for attending classes, is at least 42 credits.   3.10. Completion of the study programme and registration of doctoral thesis   

The study is completed by a successful presentation of the doctoral thesis and by gaining at least 180 credits.  

The  requirements  for  the  registration of  the doctoral  thesis are  that  the  students have  taken first‐  and  second‐semester  courses  and  have  passed  first‐semester  exams.  Students  are  required  to register the doctoral thesis when enrolling into the third year of doctoral study and to present it in front of  a  committee  of  renowned  experts  in  the  field.  The  procedure  of  registering  the  thesis  and  the conditions for its approval are defined in Articles 30 and 31 of the Regulations. 

The procedure and the conditions for evaluating the thesis are defined in Articles 34, 35 and 36 of the Regulations, and the conditions and ways of presenting the thesis are defined in Articles 37 and 38 of the Regulations.   3.11. Continuing the study programme     The conditions  for continuing  the study programme are defined by  regulations at  the national level and by the University of Rijeka.    3.12. Certificate of completion of part of the study programme     Students who discontinue their doctoral study at any time will be issued a certificate containing a list of courses and exams they have taken and activities they have participated in, as well as the number of  ECTS  credits  they  have  gained.  Students who  graduate  from  the  programme will  also  be  given  a detailed supplement containing such a list.   3.13. Acquiring a D.Sc. degree without attending classes and taking exams   

 

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The  conditions  for  enrolling  into  the  doctoral  study  and  for  acquiring  a D.Sc.  degree without attending classes and taking exams are defined in Article 10 of the Regulations.  

Students who  have  achieved  significant  scientific  accomplishments, which  correspond  to  the requirements for election into research positions, will be able to acquire a D.Sc. degree by enrolling into the study programme and writing  the doctoral  thesis but without attending classes and  taking exams. Their scientific accomplishments will have to be proven by publishing at  least three research papers  in foreign scientific or popular science journals (listed in Current Contents, Science Citation Index or Science Citation Index Expanded), the topics of which are related to their study programme, by visiting a foreign university or a research institution for at least one semester and by actively participating in at least two international scientific conferences.   3.14. Maximum time allowed from the beginning to the end of study   

Maximum time allowed from the beginning to the end of study is six years for full‐time students and ten years for part‐time students.  

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4. STUDY CONDITIONS     4.1. Locations   

Space required for teaching at the Faculty is provided at the existing location.    4.2. Lecture halls, laboratories and equipment   The Faculty has the gross area of 11922 m2, 8062 m2 of which are in the main building, and 3860 m2 in the laboratories building. Out of 6726 m2 of usable area in lecture halls, some of which are equipped for distance  learning,  lecturers’  offices,  laboratories,  computer  centre  and  library,  a  part  is  used  for  the purposes of undergraduate university studies. Quality teaching for the given number of students can be organised  in modern  lecture  halls  and  exercises  can  be  carried  out  in  48  laboratories:  Laboratory  of Electrical Measurements  and  Instrumentation,  Laboratory  of  Digital  Image  Processing,  Laboratory  of Statistical Analysis and Signal Processing, Laboratory of Electronics and Laboratory of Automation and Robotics  at  the  Department  of  Automation  and  Electronics;  Laboratory  of  Ship  Hydromechanics, Laboratory of Ocean Engineering, Laboratory of Shipbuilding and Laboratory of Computing Engineering in Naval  Architecture  at  the  Department  of  Naval  Architecture  and  Ocean  Engineering;  Laboratory  of Electrical Machines and Drives, Laboratory of Low‐Frequency Electric and Magnetic Fields, Laboratory of Power  Systems,  Laboratory  of  Application  of  Power  Electronics  and  Laboratory  of  Electricity Market Research  at  the Department  of  Electric  Power  Systems;  Laboratory  of  Technical Measurements,  CIM Laboratory, Laboratory of Artificially  Intelligent Machines and Processing Systems, Laboratory of Metal Cutting Processes,  Laboratory of Plastic  Forming and Processing Machines and  Laboratory of Welding and Quality  Assurance  at  the  Department  of  Industrial  Engineering  and Management;  Laboratory  of Computer‐Aided  Design,  Laboratory  of  Acoustics,  Laboratory  of  Surface  Roughness  Measurement, Laboratory  of  Photoelasticity,  Laboratory  of  Precision  Engineering,  Laboratory  of  Strain  Gauge  and Laboratory  of  Hydraulics  and  Pneumatics  at  the  Department  of  Mechanical  Engineering  Design; Laboratory  of  Physics  and  Environmental  Protection  and  Language  Laboratory  at  the  Department  of Mathematics, Physics,  Foreign  Languages  and Kinesiology;  Laboratory of Heat  Treatment  and  Surface Engineering,  Laboratory of Material  Testing  and Chemical  Laboratory  at  the Department of Materials Science  and  Engineering;  Laboratory  of  Fluid  Mechanics  and  Hydraulic  Engines  and  Laboratory  of Computational  Engineering  at  the  Department  of  Fluid  Mechanics  and  Computational  Engineering; Laboratory  of  Communications  and  Network  Systems,  Laboratory  of  Software  Engineering  and Information  Processing,  Laboratory  of  Applications  of  Information  Technologies  and  Laboratory  of Artificial Perception and Autonomous Systems at the Department of Computer Engineering; Laboratory of  Structural  Strength  Testing,  Laboratory  of  Numerical  Structural  Analysis,  Laboratory  of  Machine Dynamics,  Laboratory  of  Fatigue  Resistance,  Laboratory  of Measurement  and  Analysis  of  Strain  and Laboratory  of Mechatronics  in Mechanical  Engineering  at  the Department  of  Engineering Mechanics; Laboratory of Heating, Ventilation and Air‐Conditioning, Laboratory of Refrigeration, Engines Laboratory, Laboratory of  Industrial  Energy  Engineering,  Laboratory  of  Thermal Measurements  and  Laboratory of Thermal  Turbomachinery  at  the  Department  of  Thermodynamics  and  Energy  Engineering  and  three computer rooms. 

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 4.3. List of projects on which the study programme is based on     The  following  is  a  list  of  currently  active  research  programmes  and  projects  at  the  Faculty, funded by the Croatian Foundation of Science.   Project title  Head of Project  Assessment of structural behaviour in limit state operating conditions 

Josip Brnić 

Greener Approach to Ship Design and Optimal Route Planning  Jasna Prpić‐Oršić Optimisation and modelling of thermal processes of materials  Božo Smoljan     4.4. Institutional management of the study programme   

The management of the Postgraduate doctoral study programme is shared among the Dean, the Vice Dean  for Research, the Faculty Council, the Committee  for Postgraduate Studies and Science, the Head of the Doctoral Study, the Heads of Doctoral Study Modules and student supervisors. 

The scope of work of each member of the management team is defined in the Regulations.   4.5. Contractual relations     The candidate who is admitted to the doctoral study as a full‐time student will sign a contract for the position of a research assistant for the maximum duration of six years.   Candidates admitted to the doctoral study as part‐time students who have to pay tuition will sign a contract for self‐financed studying which regulates mutual rights and obligations.   Contracts will also be  signed with  institutions which will be  visited by  students as part of  the doctoral study or which will send their students to the Faculty. The contracts will regulate ECTS credits, research, thesis presentations, obligatory and elective activities and similar.   4.6. Optimal number of students   

The optimal number of  students per generation  is 30. Available  space, equipment, number of lecturers  and  thesis  supervisors  have  been  taken  into  consideration  in  the  estimate  of  the  optimal number of students. When considering the number of supervisors, maximum number (1 to 2 students per thesis supervisor) was not taken into account, rather, significantly less ratio was considered so that the conditions for each student of the doctoral study would be as best as they can be.       

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4.7. Funding the study programme   

The main source of  funding for the doctoral programme are  funds allocated by the Ministry of Science,  Education  and  Sport,  but  other  sources  are  also  used,  such  as  tuition,  foundations,  local government and state scholarships, foreign sources and, hopefully,  industry partners and collaborative projects. 

Full‐time students sign a contract  for the position of a research assistant and thus their salary, social security and healthcare etc. are covered by the Ministry. Other expenses – research, visiting other institutions, going to conferences, etc. are covered by funds allocated to a research project, foundations, scholarships, foreign sources and similar. Part‐time students finance their doctoral study through various scholarships or by themselves.     4.8. Quality of the study programme   

The Faculty of Engineering as a member of  the University of Rijeka has  its Quality Committee which,  for the purposes of evaluation and  integration  into the University network of quality assurance systems, does the following: 

surveys students via questionnaires, 

develops quality indicators,  

carries out internal evaluation and self‐evaluation and makes preparations for external evaluation, 

sets up discussions on improving teaching and promoting e‐learning, 

surveys teaching staff competences,  

organises training sessions for teaching and administrative staff, 

implements management based on the ISO 9001 standard in administrative and technical support.